Research Article

An Order Insertion Scheduling Model of Logistics Service Supply Chain Considering Capacity and Time Factors

Table 1

Notations for the model.

Notations Description

The normal service cost per unit time per unit quantity of the FLSP in mass process in offering mass operation; this cost is the normal cost without time compression or delay in the operation when operated according to original schedule

The extra service cost per unit time per unit quantity of the FLSP in mass process in offering mass operation; this cost is the extra cost due to inserting new order and rescheduling which caused extra time compression or delay in completion orders

The normal service cost per unit time per unit quantity in offering customized operation for the th customer order; this cost is the normal cost without time compression or delay in the operation when operated according to original schedule

The extra service cost per unit time per unit quantity of the FLSP in offering customized operation for the th customer order; this cost is the extra cost due to inserting new order and rescheduling which caused extra time compression or delay in completion orders

The penalty cost per unit time per unit quantity of the th customer order as the order completion time is delayed;

The new order’s price for per unit time per unit quantity offered by new order’s customer

Since mass process has capacity limit, new order volume cannot increase infinitely; the new order volume is set to be no more than times of the FLSP’s normal upper limit capacity in mass service stage;

The upper limit of FLSP’s capacity in mass process, which is the upper limit of FLSP’s capacity after scheduling according to original orders (due to real limitations, this upper limit may just be the sum volume of original orders or may be larger than the sum volume; if FLSP operates within this limit volume, operation time will not increase)

Volume of the th order;

Volume of the new inserted order, where subscript characterizes the new inserted order, the same below

The maximum of new inserted order’s volume; in our numerical example, there are three original orders and one new inserted order; thus, can be replaced by

Service quantity satisfaction (capacity) degree of the mass service provider

The th FLSP’s service time satisfaction degree, ;

Initial value of service quantity (capacity) satisfaction degree of the mass service provider

The satisfaction degree of the mass process provider

The lower limit of the satisfaction degree of the mass process provider

The satisfaction degree of the customized process of the th customer order;

The lower limit of the satisfaction degree of the customized process of the th customer order;

Satisfaction degree of the th provider, ;

The normal operation time of original orders before new order’s arrival in mass process; this normal operation time is generated by original order’s scheduling result and is input parameter in numerical analysis

The normal operation time of the th original order before new order arrival in customized process. , the same below

Completion time requirement of the th customer order asked by customers;

Actual completion time of the th customer order;

Extra operation time of the provider in mass service process

Extra operation time of the th customer order in customized process

The weight of objective function in

The weight of objective function in

The total cost of LSI

The average satisfaction of all processes in LSSC

The minimum of when not considering the objective functions

The objective function synthesized by and , which is also called the comprehensive performance of LSSC

The optimal value of

Similarity coefficient of new inserted order and original orders

Time requirement similarity coefficient of new inserted order and original orders

Service procedure similarity coefficient of new inserted order and original orders

Customer service product similarity coefficient of new inserted order and original orders

The delay coefficient of the order completion time permitted by the th customer for its order

Profit increase resulted by new inserted order

Note: , are decision variables.