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Solving a Two-Level Location Problem with Nonlinear Costs and Limited Capacity: Application of Two-Phase Recursive Algorithm Based on Scatter Search

Meirawan Danny, Ahmed Alim Al Ayub, Alazzawi Fouad Jameel Ibrahim, Chetthamrongchai Paitoon, Alkhayyat Ahmed, Utami Ermi, Artemova Elena Igorevna, Bykanova Olga, Kurniady Dedy Achmad, Komariah Aan

Foundations of Computing and Decision Sciences

2023

Vol. 48, No. 3

371--384

This study examines the issue of distribution network design in the supply chain system. There are many production factories and distribution warehouses in this issue. The most efficient strategy for distributing the product from the factory to the warehouse and from the warehouse to the customer is determined by solving this model. This model combines location problems with and without capacity limits to study a particular location problem. In this system, the cost of production and maintenance of the product in the factory and warehouse is a function of its output. This increases capacity without additional costs, and ultimately does not lose customers. This algorithm is a population-based, innovative method that systematically combines answers to obtain the most accurate answer considering quality and diversity. A two-phase recursive algorithm based on a scattered object has been developed to solve this model. Numerical results show the efficiency and effectiveness of this two-phase algorithm for problems of different sizes.

Mixed Integer Programming Approaches to Planning and Scheduling in Electronics Supply Chains

Sawik T.

Decision Making in Manufacturing and Services

2017

Vol. 11, no. 1-2

5--17

This paper discusses mixed-integer programming (MIP) approaches to planning and scheduling in electronics supply chains. First, the short-term detailed scheduling of wafer fabrication in semiconductor manufacturing and detailed scheduling of printed wiring board assembly in surface mount technology lines are discussed. Then, the medium-term aggregate production planning in a production/assembly facility of a consumer electronics supply chain is described; and finally, the coordinated aggregate planning and scheduling of the manufacturing and supply of parts and production of the finished products is presented. The decision variables are defined, and the MIP modeling frameworks are provided. Two decisionmaking approaches are discussed and compared: an integrated (simultaneous) approach, in which all required decisions are made simultaneously using a complex, large monolithic MIP model; and a hierarchical (sequential) approach, in which the required decisions are made successively using the hierarchies of simpler and smaller-sized MIP models. The paper also highlights the research on stochastic MIP applications to the planning and scheduling in electronics supply chains with disrupted material and information flows due to natural or man-made disasters.