15 Papers
103 Citations
B. C. Cha is an academic researcher from Electronics and Telecommunications Research Institute. The author has contributed to research in topics: Scheduling (production processes) & Fair-share scheduling. The author has an hindex of 8, co-authored 15 publications. Previous affiliations of B. C. Cha include Changwon National University & Pusan National University.
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Papers
The joint replenishment problem involving multiple suppliers offering quantity discounts
TL;DR: A hybrid genetic algorithm is developed for this NP-hard decision problem and it is extended to systems with resource restrictions to resolve the supplier selection problem when considering the quantity discounts.
Hybrid genetic algorithm for group technology economic lot scheduling problem
TL;DR: In this article, the authors apply group technology principles to the economic lot scheduling problem, which has been studied for over 40 years, and develop a heuristic algorithm and a hybrid genetic algorithm for the group technology economic lot-scheduling problem.
21
•Journal Article
Offsetting Inventory Cycles using Mixed Integer Programming and Genetic Algorithm
TL;DR: In this article, a mixed integer programming model was proposed to minimize the maximum storage space requirement over an infinite time horizon by offsetting the inventory cycles of items, and a genetic algorithm was developed to find the near-optimal solution.
A continuous review inventory model with the controllable production rate of the manufacturer
Ilkyeong Moon,B. C. Cha +1 more
TL;DR: An inventory model where the replenishment lead-time is assumed to be dependent on the lot size and the production rate of the manufacturer and the solution procedure is provided to obtain the efficient ordering strategy of the developed model.
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The joint replenishment and delivery scheduling involving multiple suppliers offering different quantity discounts
B. C. Cha,J. H. Park +1 more
- 06 Jul 2009
TL;DR: The mathematical model and the hybrid genetic algorithm are proposed to solve the joint replenishment and delivery scheduling problem of a warehouse and inventory holding costs of retailers.
8