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 …
Fuzzy inventory models: A comprehensive review
Over the years since the advancement of inventory management and fuzzy set theories, a
vast number of studies have been published to integrate these concepts. Nonetheless, no …
vast number of studies have been published to integrate these concepts. Nonetheless, no …
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
In the past two decades, multi-objective optimization has attracted increasing interests in the
evolutionary computation community, and a variety of multi-objective optimization algorithms …
evolutionary computation community, and a variety of multi-objective optimization algorithms …
A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization
The growing environmental concerns, governmental regulations, and significant cost
savings are the primary motivations for companies to consider the reuse and recovery of …
savings are the primary motivations for companies to consider the reuse and recovery of …
Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: an improved particle swarm optimization algorithm
Vendor-managed inventory (VMI) is a popular policy in supply chain management (SCM) to
decrease bullwhip effect. Since the transportation cost plays an important role in VMI and …
decrease bullwhip effect. Since the transportation cost plays an important role in VMI and …
The ramification of dynamic investment on the promotion and preservation technology for inventory management through a modified flower pollination algorithm
S Saha, D Chatterjee, B Sarkar - Journal of Retailing and Consumer …, 2021 - Elsevier
The dynamic rate of investment in promotion during different price-ranges and the optimum
investment in preservation technology are developed for seasonable or fashionable …
investment in preservation technology are developed for seasonable or fashionable …
Stochastic integrated manufacturing and remanufacturing model with shortage, rework and quality based return rate in a closed loop supply chain
MS Moshtagh, AA Taleizadeh - Journal of Cleaner Production, 2017 - Elsevier
Over the last few decades, inventory management of produced, recovered, and returned
items in the closed loop supply chain (CLSC) systems has been significantly taken into …
items in the closed loop supply chain (CLSC) systems has been significantly taken into …
Multi-stage cleaner production process with quality improvement and lead time dependent ordering cost
To maintain a multi-stage cleaner production process, the major task is eliminating all
defective items during the production system and an investment is necessary to reduce the …
defective items during the production system and an investment is necessary to reduce the …
An EOQ inventory model with partial backordering and reparation of imperfect products
AA Taleizadeh, MPS Khanbaglo… - International Journal of …, 2016 - Elsevier
In many situations of real life, the products are manufactured from a supplier that is located
very far from buyer. Moreover, the lot contains some products which have imperfect quality …
very far from buyer. Moreover, the lot contains some products which have imperfect quality …
Periodic review fuzzy inventory model with variable lead time and fuzzy demand
B Sarkar, AS Mahapatra - International Transactions in …, 2017 - Wiley Online Library
This paper investigates a periodic review fuzzy inventory model with lead time, reorder point,
and cycle length as decision variables. The main goal of this study is to minimize the …
and cycle length as decision variables. The main goal of this study is to minimize the …