A review of applications of genetic algorithms in operations management
CKH Lee - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Many decisions in operations management (OM) belong to the class of Non-deterministic
Polynomial hard problems and thus heuristic search methods have been applied to improve …
Polynomial hard problems and thus heuristic search methods have been applied to improve …
A review of mathematical programming models for strategic capacity planning in manufacturing
C Martínez-Costa, M Mas-Machuca, E Benedito… - International Journal of …, 2014 - Elsevier
This paper offers an up-to-date review on strategic capacity planning in manufacturing
companies, with two main objectives:(1) to describe and analyze the strategic capacity …
companies, with two main objectives:(1) to describe and analyze the strategic capacity …
Preservation technology investment for deteriorating inventory
PH Hsu, HM Wee, HM Teng - International Journal of Production Economics, 2010 - Elsevier
The objective of this study is to develop a deteriorating inventory policy when the retailer
invests on the preservation technology to reduce the rate of product deterioration. A solution …
invests on the preservation technology to reduce the rate of product deterioration. A solution …
Planning capacity and safety stocks in a serial production–distribution system with multiple products
F Ghadimi, T Aouam - European Journal of Operational Research, 2021 - Elsevier
This study jointly optimizes the production capacity and safety stocks in a serial production–
distribution system supplying multiple products under a guaranteed service approach (GSA) …
distribution system supplying multiple products under a guaranteed service approach (GSA) …
Stochastic programming based capacity planning for semiconductor wafer fab with uncertain demand and capacity
Capacity planning is a challenging problem in semiconductor manufacturing industry due to
high uncertainties both in market and manufacturing systems, short product life cycle, and …
high uncertainties both in market and manufacturing systems, short product life cycle, and …
A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity
In times of crisis, companies need free cash flow to efficiently react against all uncertainty to
ensure solvency. However, classical dynamic lot-sizing models only consider the physical …
ensure solvency. However, classical dynamic lot-sizing models only consider the physical …
Capacity planning with technology replacement by stochastic dynamic programming
Technology replacement is capital intensive and highly risky in fast-paced high-tech
industries along lumpy demand. This article proposes a solution to decision-making related …
industries along lumpy demand. This article proposes a solution to decision-making related …
Optimizing production capacity and safety stocks in general acyclic supply chains
F Ghadimi, T Aouam, M Vanhoucke - Computers & Operations Research, 2020 - Elsevier
This paper addresses the joint optimization of production capacity and safety stocks in
supply chains under the guaranteed service approach (GSA). The integrated problem is …
supply chains under the guaranteed service approach (GSA). The integrated problem is …
A review of simulation-optimization methods with applications to semiconductor operational problems
Recent advances in simulation optimization (SO) research and explosive growth in
computing power have made it possible to optimize complex manufacturing system …
computing power have made it possible to optimize complex manufacturing system …
Coordinated capacity planning in two-stage thin-film-transistor liquid-crystal-display (TFT-LCD) production networks
This paper studies capacity planning problems in two-stage Thin Film Transistor-Liquid
Crystal Display (TFT-LCD) production networks. In the TFT-LCD industry, capacity planning …
Crystal Display (TFT-LCD) production networks. In the TFT-LCD industry, capacity planning …