Mathematical Problems in Engineering / 2017 / Article / Tab 7 / Research Article
Fix-and-Optimize and Variable Neighborhood Search Approaches for Stochastic Multi-Item Capacitated Lot-Sizing Problems Table 7 Instance generator settings.
Symbol Definition Assumptions and settings Indices and sets: Products used to fulfill demand Set up using clustering algorithm such as K -means clustering and hierarchical clustering after every attribute of products is realized Products that are produced by resource Set up for randomly chosen product Deterministic parameters: Setup cost See (A.4 ) Unit production cost See (A.3 ) Unit holding cost 2% of the unit production cost Unit capacity See (A.2 ) Setup time capacity See (A.1 ) Available capacities See (A.6 ) Unit backlogging Penalty cost ⩾ 50 × Overtime cost See (A.7 ) Demand coefficient Set for all and . Initial inventory ~ , with Random parameters: Demand Normally distributed, stationary across period horizons, but different mean and variation coefficient for each demand: ~ (with values cut-off), with and