Multi-item Simultaneous Lot Sizing and Storage Allocation with Production and Warehouse Capacities

Iris, Çağatay; Yenisey, Mehmet Mutlu

doi:10.1007/978-3-642-33587-7_10

Cited by 6 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering a multi-item dynamic lot sizing strategy with production and warehouse capacities with different storage allocation policies, a mathematical model of the related problem was detailed, and dominance properties were presented separately for each storage allocation policy [36]. Based on no-shortage policy, the proposed algorithm utilized transfer of lots between consecutive periods.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs

Chen

Wang

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

With the increasing influence of climate change, green development has become an important trend. Since manufacturing represents approximately one-half of total energy consumption, reducing the amount of energy consumed within this industry is imperative. This study provides a hybrid flow shop scheduling issue under a time-of-use and ladder electricity price system to reduce total energy consumption without compromising maximum completion time. An improved non-dominated sorting genetic algorithm II with some optimization strategies is proposed to solve the problem. First, an enhanced constructive heuristic algorithm is used to improve the quantity of initial solution in the initialization. Besides, an adaptive genetic operation is introduced, aiming to avoid the emergence of locally optimal solutions. In addition, the right-shift approach is developed to reduce the total energy consumption without affecting completion time. By maintaining the production efficiency and reducing the energy consumption cost by 4.33%. A trade-off proposal is made between productivity and sustainability in view of the calculation results.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs

Chen

Wang

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…This study was motivated by a need of semiconductor company in Korea that produces memory chips and adopts make-to-order strategy. The order-lot matching problem is different from the lot sizing problem [1,2] in that lot sizes are not to be determined but fixed. Since order sizes are usually larger than lot sizes, an order is met with multiple lots.…”

Section: Introductionmentioning

confidence: 99%

“…Note that S(1, 2, 2) = {1}, S(4, 4, 2) = {4}, S(1, 4, 2) = {1, 4}, C({1, 2}, 0) = 30, and C({1, 4, 2}, 0) = 40. Since T(S(1, 4, 2), 0) ≥ 0, T(S(1,4,3), 0) = 10. Thus, we obtain T(S(1, 4, 0), 0) = 50 when an optimal order sequence is 1, 2, 4, 3.…”

mentioning

confidence: 99%

Dominance Conditions for Optimal Order-Lot Matching in the Make-To-Order Production System

et al. 2020

View full text Add to dashboard Cite

Order-lot matching is the process of assigning items in lots being processed in the make-to-order production system to meet the due dates of the orders. In this study, an order-lot matching problem (OLMP) is considered to minimize the total tardiness of orders with different due dates. In the OLMP considered in this study, we need to not only determine the allocation of items to lots in the production facility but also generate a lot release plan for the given time horizon. We show that the OLMP can be considered as a special type of machine scheduling problem with many similarities to the single machine total tardiness scheduling problem ( 1 | | ∑ T i ). We suggest dominance conditions for the OLMP by modifying those for 1 | | ∑ T i and a dynamic programming (DP) model based on the dominance conditions. With two example problems, we show that the DP model can solve small-sized OLMPs optimally.

show abstract

Integration of a Heuristic Method into an ERP Software: A Successful Experience for a Dynamic Multi-item Lot Sizing Problem

Gutiérrez

Colebrook

Rivero³

et al. 2014

Advanced Business Analytics

View full text Add to dashboard Cite

Multi-item Simultaneous Lot Sizing and Storage Allocation with Production and Warehouse Capacities

Cited by 6 publications

References 12 publications

Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs

Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs

Dominance Conditions for Optimal Order-Lot Matching in the Make-To-Order Production System

Integration of a Heuristic Method into an ERP Software: A Successful Experience for a Dynamic Multi-item Lot Sizing Problem

Contact Info

Product

Resources

About