Journal of Industrial Engineering The latest articles from Hindawi Publishing Corporation © 2014 , Hindawi Publishing Corporation . All rights reserved. Validation of Methods for the Optical Characterisation of the Wettability of Polymeric Films for Food Packaging Thu, 23 Oct 2014 00:00:00 +0000 A methodology is described for the theoretical-experimental evaluation of the measurement uncertainty of the polar and dispersive components of the surface free energy (SFE) in polypropylene films; these parameters are related to the film wettability of adhesives and inks. The proposed method is based on the measurement by means of a vision system of the contact angles of liquid drops deposited on the film itself, which allows for obtaining, through mathematical models drawn from the literature, the physical quantities of interest. The effect of the principal influence parameters has been experimentally evaluated, and testing has allowed the defining of the technical procedures readily transferable in the industry. The uncertainty assessment is interesting not only to correctly evaluate experimental data but also to characterise the reproducibility of the effects of techniques for improving the wettability of films, such as surface treatments. Giulio D’Emilia and Emanuela Natale Copyright © 2014 Giulio D’Emilia and Emanuela Natale. All rights reserved. Theoretical Foundations of Efficiently Organizing Production Processes: Using the Example of Combining Organizational Forms of Component Manufacture and Internal Transport Wed, 22 Oct 2014 13:09:17 +0000 This paper examines the problem of efficient production processes organization down to subprocesses levels. Subtasks of production within subprocesses necessitate a specific set of requirements for production organization. Through particular features and their respective characteristics, these requirements are further systemized and described as process types. The main manufacturing process “component manufacture” and its connected production support service “internal transport” have been chosen as examples to show relevant organizational principles and forms. From this baseline and together with a decision algorithm, selected organizational options and a combination thereof shall lead to theoretically optimized solutions which meet all predefined requirements. A multilevel organizational alignment model lays out interdependencies of combined process type-oriented organizational forms. Methods of comparative organizational profile analysis in support of reengineering approaches are systemized and further developed towards resulting organizational adaptations. Anne-Katrin Schroeder, Theodor Nebl, and Christian Mainzinger Copyright © 2014 Anne-Katrin Schroeder et al. All rights reserved. Supply Chain Integration in the Manufacturing Firms in Developing Country: An Ethiopian Case Study Tue, 21 Oct 2014 13:57:46 +0000 With the advancement of information and communication technologies, supply chain integration has been considered a strategic tool for firms to improve their competitiveness. The supply chain integration within processes and between organizations has enhanced value creation. However, the fragmented nature of the business in developing country demonstrates a noticeable difficulty in terms of competitiveness and efficiency. Lack of a relevant literature on practical experience in supply chain integration in developing countries is one of the challenges. The purpose of this research is to identify the level of interorganizational and intraorganizational supply chain integration practices. It also analyzes the challenges faced in the manufacturing firms in developing countries. The methodology followed a thorough review of literature and semistructured interviews amongst the Ethiopian manufacturing industries. The preliminary findings of the study highlight that prevailing approach to supply chain integration is limited to ad hoc functional based boundaries within the firm. The SC integration enablers are also restricted to the traditional way of communications such as telephone, fax, and letters. Firms need to focus on those issues that require attention in pursuance of greater SC integration. Fasika Bete Georgise, Klaus-Dieter Thoben, and Marcus Seifert Copyright © 2014 Fasika Bete Georgise et al. All rights reserved. An EOQ Model for Phase Inventory with Induced Demand and Periodic Cycle Time Tue, 16 Sep 2014 11:19:30 +0000 This paper deals with a stock flow of an inventory problem over induced demand. The inventory is consumed through “core customer” or chain marketing system in an induced environment (inductance) to exhaust all the items of the stock inventory in an indefinite time. The demand rate is depicted due to induced factor which is generated from the same inventory presented nearby. The inventory cycle time is split into several periodic times due to oscillatory feature of the inventory which is called phase inventory. Considering uniform demand, this cycle time splits into two basic parts, namely, “first shift” (phase) and “second shift” (phase). Since the process dampens over time, so the whole inventory will exhaust after few periods. A cost function consisted of inventory cost, setup cost, and loss for induced items is minimized to obtain optimal order quantity and replenishment time. The multivariate lagrange interpolation (MLI) over the average values of the postsensitivity analysis is developed here. Finally, graphical illustrations are made to justify the model. Sujit Kumar De, Shib Sankar Sana, and Adrijit Goswami Copyright © 2014 Sujit Kumar De et al. All rights reserved. Measurement of Overall Performance Effectiveness in Setup Improvement Thu, 11 Sep 2014 12:35:30 +0000 This study aimed to improve the setup process of injection molding machines by using the developed setup improvement methodology. Overall performance effectiveness (OPE) was used to evaluate the setup improvement. A case study was tested on the application of the developed setup improvement methodology. A 50.1% reduction in setup time was attained by the developed methodology, and significant time savings were achieved with minimum investment. Comparisons between before and after improvement implementation were conducted through OPE to verify the improvement. In terms of OPE, the setup performance in the case study considered an acceptable value of 60.45%. The setup process performance of the developed setup improvement methodology was judged in terms of effectiveness. Results therefore indicate that OPE measurement is an effective way to analyze the efficiency of a single setup process. Shye-Nee Low, Siu-Hou Chong, Hui-Yee Sim, Solehhudin Razalli, and Shahrul Kamaruddin Copyright © 2014 Shye-Nee Low et al. All rights reserved. Optimal Pricing and Ordering Policy for Two Echelon Varying Production Inventory System Thu, 11 Sep 2014 12:14:40 +0000 The paper proposes a two-stage supply chain model for price sensitive demand in imperfect production system while manufacturer and supplier are the members of the chain. The supplier screens the raw materials first and supplies good materials to the manufacturer at a constant rate. The production rate varies randomly within a finite interval. The inventory cycle of the manufacturer starts with shortages and production and it finishes with shortages again, in which shortages are partially backlogged. We consider a mixture of LIFO (last in, first out) and FIFO (first in, first out) dispatching policies to fill the backlogged demand. Thus, the objective of the proposed paper is to determine the optimal ordering lot-size and selling price of the manufacturer such that the per unit average integrated expected profit of the supply chain model is maximized. A numerical example is provided to analyze and illustrate the behavior and application of the model. Finally, sensitivity analysis of the key parameters are presented to test feasibility of the model. Brojeswar Pal, Shib Sankar Sana, and Kripasindhu Chaudhuri Copyright © 2014 Brojeswar Pal et al. All rights reserved. Analysis of Shop Floor Performance through Discrete Event Simulation: A Case Study Mon, 08 Sep 2014 07:58:10 +0000 Shop floor performance management is a method to ensure the effective utilization of people, processes, and equipment. Changes in the shop floor might have a positive or negative effect on production performance. Therefore, optimal shop floor operation is required to enhance shop floor performance and to ensure the long-term efficiency of the production process. This work presents a case study of a semiconductor industry. The punching department is modeled to investigate the effect of changes in the shop floor on production performance through discrete event simulation. The effects on the throughput rate, machine utilization, and labor utilization are studied by adjusting the volume of parts, number of operators, and flow pattern of parts in a series of models. Simulation results are tested and analyzed by using analysis of variance (ANOVA). The best model under changes in the shop floor is identified during the exploration of alternative scenarios. Yeong Wei Ng, Joshua Chan Ren Jie, and Shahrul Kamaruddin Copyright © 2014 Yeong Wei Ng et al. All rights reserved. Minimizing the Number of Tardy Jobs on a Single Machine with an Availability Constraint Mon, 01 Sep 2014 06:10:18 +0000 Most scheduling problems are based on the assumption that machines work continuously during the planning horizon. This assumption is not true in many production environments because the machine may not be available during one or more periods such as during breakdowns or maintenance operations. In this paper, the problem of the single machine scheduling with one unavailability period and nonresumable jobs with the aim of minimizing the number of tardy jobs is studied. A number of theorems are proved and a heuristic procedure is developed to solve the problem. A branch-and-bound approach is also presented which includes upper and lower bounds and efficient dominance rules. Computational results for 2680 problem instances show that the branch-and-bound approach is capable of solving 98.7% of the instances optimally, bearing witness to the efficiency of the proposed procedure. Our results also indicate that the proposed approaches are more efficient when compared to other methods. Ehsan Molaee and Ghasem Moslehi Copyright © 2014 Ehsan Molaee and Ghasem Moslehi. All rights reserved. Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach Mon, 16 Jun 2014 13:20:45 +0000 Nowadays, the demand of third-party logistics provider becomes an increasingly important issue for companies to improve their customer service and to decrease logistics costs. This paper presents an integrated fuzzy approach for the evaluation and selection of 3rd party logistics service providers. This method consists of two techniques: (1) use fuzzy analytic hierarchy process to identify weights of evaluation criteria; (2) apply fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to evaluate and sequence alternatives and to make the final selection. Finally, an actual industrial application is performed in logistics department of a tire manufacturing company. For this, first, eight logistics supplier selection criteria were determined, and then the best alternative among seven logistics service provider companies was selected by the proposed method. Gülşen Akman and Kasım Baynal Copyright © 2014 Gülşen Akman and Kasım Baynal. All rights reserved. A Multiobjective Iterated Greedy Algorithm for Truck Scheduling in Cross-Dock Problems Thu, 08 May 2014 00:00:00 +0000 The cross-docking system is a new distribution strategy which can reduce inventories, lead times, and improve responding time to customers. This paper considers biobjective problem of truck scheduling in cross-docking systems with temporary storage. The objectives are minimizing both makespan and total tardiness. For this problem, it proposes a multiobjective iterated greedy algorithm employing advance features such as modified crowding selection, restart phase, and local search. To evaluate the proposed algorithm for performance, it is compared with two available algorithms, subpopulation particle swarm optimization-II and strength Pareto evolutionary algorithm-II. The comparison shows that the proposed multiobjective iterated greedy algorithm shows high performance and outperforms the other two algorithms. B. Naderi, Shadi Rahmani, and Shabnam Rahmani Copyright © 2014 B. Naderi et al. All rights reserved. Applicability of Tool Condition Monitoring Methods Used for Conventional Milling in Micromilling: A Comparative Review Mon, 28 Apr 2014 08:01:38 +0000 Micromilling is a contact based material removal process in which a rotating tool with nose radius in microns is fed over a stationary workpiece. In the process small amount of material gets chipped off from the workpiece. Due to continuous contact between tool and workpiece significant damage occurs to the cutting tools. Mitigating tool damage to make micromilling systems more reliable for batch production is the current research trend. In macroscale or conventional milling process a number of methods have been proposed for tool condition monitoring. Few of them have been applied for micromilling. This paper reviews different methods proposed and used in last two decades for monitoring the condition of micromilling tools. Applicability of tool condition monitoring methods used in conventional milling has been compared with the similar ones proposed for micromilling. Further, the challenges and opportunities on the applicability issues have been discussed. Soumen Mandal Copyright © 2014 Soumen Mandal. All rights reserved. Fuzzy Optimization Modeling Approach for QFD-Based New Product Design Wed, 09 Apr 2014 12:03:34 +0000 Quality function deployment (QFD) is a planning and problem-solving tool for translating customer requirements (CRs) into the engineering characteristics (ECs) of a product. Owing to the typical vagueness of functional relationships in a new product, product planning is becoming more difficult under uncertainties. To tackle the vagueness or imprecision in QFD, numerous scholars have applied the fuzzy set theory to QFD and proposed various fuzzy QFD models. In this study, a fuzzy linear programming model is developed to determine the optimal level of ECs, where the objective function is the overall customer satisfaction and the cost constraint is fuzzified. Finally, we use a software product design as a numerical example, which demonstrates that the proposed methodology can help the QFD team realize the overall customer satisfaction of new products catching up with or exceeding the competitors in the target market. Zhihui Yang and Yizeng Chen Copyright © 2014 Zhihui Yang and Yizeng Chen. All rights reserved. A Makespan Optimization Scheme for NP-Hard Gari Processing Job Scheduling Using Improved Genetic Algorithm Sun, 06 Apr 2014 13:45:22 +0000 An optimization scheme for minimizing makespan of Gari processing jobs using improved initial population Genetic Algorithm (GA) is proposed. GA with initial population improved by using job sequencing and dispatching rules of First Come First Served (FCFS), Shortest Processing Time (SPT), Longest Processing Time (LPT), and Modified Johnson’s Algorithm for -machines in order to obtain better schedules than is affordable by GA with freely generated initial population and by individual traditional sequencing and dispatching rules was used. The traditional GA crossover and mutation operators as well as a custom-made remedial operator were used together with a hybrid of elitism and roulette wheel algorithms in the selection process based on job completion times. A test problem of 20 jobs with specified job processing and arrival times was simulated through the integral 5-process Gari production routine using the sequencing and dispatching rules, GA with freely generated initial population, and the improved GA. Comparisons based on performance measures such as optimal makespan, mean makespan, execution time, and solution improvement rate established the superiority of the improved initial population GA over the traditional sequencing and dispatching rules and freely generated initial population GA. Adeyanju Sosimi, Folorunso Oladimeji Ogunwolu, and Taoreed Adegbola Copyright © 2014 Adeyanju Sosimi et al. All rights reserved. Simulation on Bidding Strategy at Day-Ahead Market Sun, 09 Feb 2014 12:16:45 +0000 In an electric power day-ahead market, market prices are not always cleared at marginal cost caused by the strategic bidding of generators. This paper presents the results of day-ahead market simulation by using a simple three-generation-companies’ model for the case of demand with price sensitivity and analysis of the profits depending upon bidding strategies. The results show that, without a demand response, generation companies with diverse generation can increase their profit by strategic bidding. Moreover, under this condition, even if the demand response is made sensitive, these characteristics do not change. It is clarified that one of these factors is the operating constraint of power generators. If the generation company’s low-cost power generators decrease, the company’s profit monotonically decreases as the speculated capacity increases. However, realizing this case requires an unreal demand response and many small companies without diverse generation. Unless the conditions above are satisfied, the wholesale power transactions only through a day-ahead market without price-sensitive demand mechanisms would create a sellers' market, where the sellers can easily manipulate the price. Kazunori Sawai and Tetsuo Sasaki Copyright © 2014 Kazunori Sawai and Tetsuo Sasaki. All rights reserved. Inclusion of Management Desirability and Risk in Service FMEA-Based Corrective Action Selection Methodology Tue, 28 Jan 2014 09:09:43 +0000 When selecting competing corrective actions on FMEA, decision makers may have a different desirability to target a certain improvement goal. Besides, once the corrective actions have been implemented, there may exist a considerable degree of risk due to the possible uncertainties of the outcome. This paper attempts to present FMEA-based corrective action prioritization, incorporating both management desirability and implementation relevant risk into the model. To reflect team desirability and risk attitude in estimating the attractiveness of corrective actions, the Derringer desirability and risk aversion factor are used. An illustrative example is provided to demonstrate the applicability of the proposed model. Agung Sutrisno, Tzong Ru (Jiun Shen) Lee, and Hyuck Moo Kwon Copyright © 2014 Agung Sutrisno et al. All rights reserved. Implementing Lean Practices: Managing the Transformation Risks Wed, 18 Dec 2013 16:04:37 +0000 Insightful implementation of lean is necessary for high-value manufacturing and is complementary to strategic decision making regarding manufacture. However lean can be difficult to implement in specific organisations. One of the difficulties is deciding which of the many lean tools to apply and when to apply them. A complicating factor is change management. Lean implementation is a transformational process and needs to support organisational development alongside process improvement. We develop a method based on risk management to identify which lean tools are most appropriate for a specific organisational setting. This permits the situational and contingency variables to be accommodated in the lean transformation. The method is demonstrated by application to a small manufacturing organisation with a high-variety low-volume business model. Thus it is possible, given contextual knowledge of the organisation, to predict which lean methods are most important in the situation. This enables the prioritisation of organisational effort towards lean methods that are relevant to the organisation at that particular time in its development. Antony Pearce and Dirk Pons Copyright © 2013 Antony Pearce and Dirk Pons. All rights reserved. The Pressure Relief System Design for Industrial Reactors Tue, 26 Nov 2013 10:16:18 +0000 A quick and simple approach for reactor—emergency relief system design—for runaway chemical reactions is presented. A cookbook for system sizing with all main characteristic dimensions and parameters is shown on one realistic example from process industry. System design was done based on existing theories, standards, and correlations obtained from the literature, which were implemented for presented case. A simple and effective method for emergency relief system is shown, which may serve as an example for similar systems design. Obtained results may contribute to better understanding of blow down system frequently used in industrial plants, for increasing safety, decreasing explosion damage, and alleviating the ecological problems together with environmental pollution in case of industrial accidents. Iztok Hace Copyright © 2013 Iztok Hace. All rights reserved. An Integrated Structure for Supplier Selection and Configuration of Knowledge-Based Networks Using QFD, ANP, and Mixed-Integer Programming Model Mon, 21 Oct 2013 13:01:08 +0000 Today’s competitive world conditions and shortened product life cycles have led to the rise of attention towards new product development issue which can guarantee both growth and survival of organizations. The agility of new product development is directed by the efficiency and efficacy of knowledge management skills of an organization. A key issue in thorough success of such networks is the developed knowledge preservation amongst the members. Thus, it is important that reliable relations can be established between the members in order to promote further interactions. To do so, an integrated framework is developed in this paper to configure the new product development network so that sustainable collaborations can be maintained amongst the entities. The proposed framework consists of the network configuration in addition to the supplier selection phase. They are taken into consideration using a biobjective mathematical model in which incurred costs and suppliers' superiority determine the final configuration of the network. Finally, different numerical instances are solved to address the applicability of the proposed model. M. Abbasi, R. Hosnavi, and B. Tabrizi Copyright © 2013 M. Abbasi et al. All rights reserved. Effect of Various Ring Yarns on Fabric Comfort Wed, 18 Sep 2013 08:05:37 +0000 Comfort performance of woven structures made of various types of ring spun yarns like carded, combed, and compact spun yarns has been reported in the present study. Carded, combed, and compact spun yarns are entirely different in structure in terms of fibre migration inside the yarn body, level of free space inside the yarn, number of hairs, and length of hairs on yarn surfaces. In this study, 197 dtex and 144 dtex (30s Ne and 40s Ne) ring spun combed yarns are used as a warp. The same cotton mixing was used to manufacture 30s Ne and 40s Ne carded, combed, and compact yarns. Both 30s and 40s Ne linear density yarns were prepared by all three carded, combed, and compact yarn manufacturing routes. The structure of fibre strand in filling yarn has a great impact on comfort related properties, that is, thermal conductivity, , air permeability, wicking, and moisture vapour permeability. Mukesh Kumar Singh and Akansha Nigam Copyright © 2013 Mukesh Kumar Singh and Akansha Nigam. All rights reserved. An Inventory Model with Finite Replenishment Rate, Trade Credit Policy and Price-Discount Offer Sat, 24 Aug 2013 13:58:05 +0000 When some suppliers offer trade credit periods and price discounts to retailers in order to increase the demand of their products, retailers have to face different types of discount offers and credits within which they have to take a decision which is the best offer for them to make more profit. The retailers try to buy perfect-quality items at a reasonable price, and also they try to invest returns obtained by selling those items in such a manner that their business is not hampered. In this point of view, we consider an economic order quantity (EOQ) model for various types of time-dependent demand when delay in payment and price discount are permitted by suppliers to retailers. The models of various demand patterns are discussed analytically. Some numerical examples and graphical representations are considered to illustrate the model. Biswajit Sarkar, Shib Sankar Sana, and Kripasindhu Chaudhuri Copyright © 2013 Biswajit Sarkar et al. All rights reserved. Parametric Optimization of Nd:YAG Laser Beam Machining Process Using Artificial Bee Colony Algorithm Wed, 31 Jul 2013 12:54:37 +0000 Nd:YAG laser beam machining (LBM) process has a great potential to manufacture intricate shaped microproducts with its unique characteristics. In practical applications, such as drilling, grooving, cutting, or scribing, the optimal combination of Nd:YAG LBM process parameters needs to be sought out to provide the desired machining performance. Several mathematical techniques, like Taguchi method, desirability function, grey relational analysis, and genetic algorithm, have already been applied for parametric optimization of Nd:YAG LBM processes, but in most of the cases, suboptimal or near optimal solutions have been reached. This paper focuses on the application of artificial bee colony (ABC) algorithm to determine the optimal Nd:YAG LBM process parameters while considering both single and multiobjective optimization of the responses. A comparative study with other population-based algorithms, like genetic algorithm, particle swarm optimization, and ant colony optimization algorithm, proves the global applicability and acceptability of ABC algorithm for parametric optimization. In this algorithm, exchange of information amongst the onlooker bees minimizes the search iteration for the global optimal and avoids generation of suboptimal solutions. The results of two sample paired -tests also demonstrate its superiority over the other optimization algorithms. Rajarshi Mukherjee, Debkalpa Goswami, and Shankar Chakraborty Copyright © 2013 Rajarshi Mukherjee et al. All rights reserved. A Novel Metaheuristic for Travelling Salesman Problem Thu, 18 Jul 2013 13:49:58 +0000 One of the well-known combinatorial optimization problems is travelling salesman problem (TSP). This problem is in the fields of logistics, transportation, and distribution. TSP is among the NP-hard problems, and many different metaheuristics are used to solve this problem in an acceptable time especially when the number of cities is high. In this paper, a new meta-heuristic is proposed to solve TSP which is based on new insight into network routing problems. Vahid Zharfi and Abolfazl Mirzazadeh Copyright © 2013 Vahid Zharfi and Abolfazl Mirzazadeh. All rights reserved. Fuzzy Quality Function Deployment: An Analytical Literature Review Mon, 13 May 2013 15:04:31 +0000 This paper presents an analytical literature review on fuzzy quality function deployment (FQFD) of papers published between 2000 and 2011. In this review, publications were divided into two main groups. First group included publications which proposed some models to develop FQFD. The second one was related to new applications of FQFD models. Next, publications were analyzed and research gaps and future directions were presented. We reached some conclusions including the following. (i) Most of studies were focused on quantitative methods to accomplish phase 1 of QFD or House of Quality (HoQ). The most employed techniques were multicriteria decision making (MCDM) methods. (ii) Although main purpose of using QFD was product development, other factors such as risk and competiveness analysis should be considered in product development process. (iii) A promising approach is using of metaheuristic methods for solving complicated problems of FQFD. (iv) There are a few studies on completing all phases of FQFD. Mohammad Abdolshah and Mohsen Moradi Copyright © 2013 Mohammad Abdolshah and Mohsen Moradi. All rights reserved. Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS Mon, 22 Apr 2013 14:56:46 +0000 Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components. Gülşen Akman and Hamit Pışkın Copyright © 2013 Gülşen Akman and Hamit Pışkın. All rights reserved. Optimizing Inventory and Pricing Policy for Seasonal Deteriorating Products with Preservation Technology Investment Thu, 04 Apr 2013 09:57:59 +0000 The paper studies a kind of deteriorating seasonal product whose deterioration rate can be controlled by investing on the preservation efforts. In contrast to previous studies, the paper considers the seasonal and deteriorating properties simultaneously. A deteriorating inventory model is developed for this problem. We also provide a solution procedure to find the optimal decisions about the preservation technology investment, the market price, and the ordering frequency. Then a case study is used to illustrate the model and the solution procedure. Finally, sensitive analysis of the optimal solution with respect to major parameters is carried out. Yong He and Hongfu Huang Copyright © 2013 Yong He and Hongfu Huang. All rights reserved. Environmentally Lean Production: The Development and Incorporation of an Environmental Impact Index into Value Stream Mapping Wed, 03 Apr 2013 08:58:48 +0000 There is a need to include environmental waste alongside other lean wastes. Current concepts of environmental waste focus on the total production of waste from a plant. However waste is generated by individual processes within the production. Therefore focused management of waste requires engineers to know what and where waste is being generated. This is often simply not known with any accuracy. This work offer a solution by developing a method to integrate environmental waste into the lean method of Value Stream Mapping (VSM). Specifically it integrate corporate environmental standards with the VSM process, thereby permitting established lean improvement process to be focused at specific environmental improvement actions. Application of the method is demonstrated in a manufacturing setting, representing a variety of environmental impacts. The deployment is capable of being generalised to any number of environmental factors. It is able to represent a customised waste index for a particular industry. Several ways to represent the multidimensional environmental wastes were explored via industry focus group. The resulting method can be used by production staff to quantify environmental impacts at the level of the individual process and aggregated to report wastes for the whole value stream. T. J. Roosen and D. J. Pons Copyright © 2013 T. J. Roosen and D. J. Pons. All rights reserved. Chip Attach Scheduling in Semiconductor Assembly Tue, 26 Mar 2013 11:21:23 +0000 Chip attach is the bottleneck operation in semiconductor assembly. Chip attach scheduling is in nature unrelated parallel machine scheduling considering practical issues, for example, machine-job qualification, sequence-dependant setup times, initial machine status, and engineering time. The major scheduling objective is to minimize the total weighted unsatisfied Target Production Volume in the schedule horizon. To apply -learning algorithm, the scheduling problem is converted into reinforcement learning problem by constructing elaborate system state representation, actions, and reward function. We select five heuristics as actions and prove the equivalence of reward function and the scheduling objective function. We also conduct experiments with industrial datasets to compare the -learning algorithm, five action heuristics, and Largest Weight First (LWF) heuristics used in industry. Experiment results show that -learning is remarkably superior to the six heuristics. Compared with LWF, -learning reduces three performance measures, objective function value, unsatisfied Target Production Volume index, and unsatisfied job type index, by considerable amounts of 80.92%, 52.20%, and 31.81%, respectively. Zhicong Zhang, Kaishun Hu, Shuai Li, Huiyu Huang, and Shaoyong Zhao Copyright © 2013 Zhicong Zhang et al. All rights reserved. A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry Mon, 25 Mar 2013 09:00:25 +0000 This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process. Nadia Jamil, Rosli Besar, and H. K. Sim Copyright © 2013 Nadia Jamil et al. All rights reserved. Inventory Management and Maintenance in Offshore Vessel Industry Thu, 14 Mar 2013 12:04:31 +0000 An evaluation of the inventory policy at an offshore vessel company was conducted. Currently the items in inventory are used at random intervals as they are used only when parts fail. To solve the problem of reducing a very large inventory but keep enough to allow an uninterrupted service to the customer, we propose a real and economically efficient multicriteria inventory policy using inventory classification method integrated with a preventive maintenance program. The proposed method can be summarized in the following three steps: first, rank the parts according to both the lead time from supplier and the cost of downtime failure and use a matrix display to show the most critical items. In the second step develop a preventive maintenance program for the most critical parts to minimize downtime due to failure. Finally in the third step standardize most critical parts to reduce the inventory which saves the company money while maintaining the same level of service to its customers. Our study showed that the company with a very large inventory could effectively reduce its size by focusing on key parts. Jalel Ben Hmida, Grant Regan, and Jim Lee Copyright © 2013 Jalel Ben Hmida et al. All rights reserved. Analysis and Scheduling of Maintenance Operations for a Chain of Gas Stations Sun, 10 Mar 2013 08:38:35 +0000 Maintenance is one of the central issues in operational activities, which involve any type of equipment. In this paper we have considered analysis, modeling, and scheduling of preventive maintenance operations for fuel dispensers in a chain of gas stations. A gas station company with more than 570 dispensers in more than 40 stations is considered and the maintenance problem is studied in detail. Operations research tools, including maintenance models and linear programming, were used to establish optimum schedules for preventive maintenance operations. Detailed cost analyses were carried out to determine feasibility of the proposed preventive maintenance schedules. Models and procedures presented in this paper could guide operation engineers and maintenance managers in solving similar problems for operational improvements. Mehmet Savsar Copyright © 2013 Mehmet Savsar. All rights reserved.