Search Results - subject:"Meta‐heuristic algorithm"

Determining decoupling points in a supply chain networks using NSGA II algorithm

Ebrahimiarjestan, Mina; Wang, Guoxin - In: Journal of Industrial Engineering and Management (JIEM) 10 (2017) 2, pp. 352-372

Purpose: In the model, we used the concepts of Lee and Amaral (2002) and Tang and Zhou (2009) and offer a multi-criteria decision-making model that identify the decoupling points to aim to minimize production costs, minimize the product delivery time to customer and maximize their satisfaction....

Persistent link: https://www.econbiz.de/10011939341

Determining decoupling points in a supply chain networks using NSGA II algorithm

Ebrahimiarjestan, Mina; Wang, Guoxin - In: Journal of industrial engineering and management : JIEM 10 (2017) 2, pp. 352-372

Persistent link: https://www.econbiz.de/10011920134

Green supply chain flow analysis with multi-attribute demand in a multi-period product development environment

Porkar, Sahar; Mahdavi, Iraj; Vishkaei, Behzad Maleki; … - In: Operational research : an international journal 20 (2020) 3, pp. 1405-1435

Persistent link: https://www.econbiz.de/10012291181

Performance analysis : Differential search algorithm based on randomization and benchmark functions

Alsaadi, Areej Ahmad; Alhalabi, Wadee; Dragoi, … - In: Data Technologies and Applications 55 (2019) 3, pp. 313-331

Purpose Differential search algorithm (DSA) is a new optimization, meta-heuristic algorithm. It simulates the Brownian …

Persistent link: https://www.econbiz.de/10014712672

The value of integrating order picking and vehicle routing decisions in a B2C e-commerce environment

Moons, S.; Braekers, K.; Ramaekers, K.; Caris, A.; Arda, Y. - In: International journal of production research 57 (2019) 20, pp. 6405-6423

Persistent link: https://www.econbiz.de/10012193712

Emergency relief routing models for injured victims considering equity and priority

Zhu, Li; Gong, Yeming; Xu, Yishui; Gu, Jun - In: Application of operations research (OR) in disaster …, (pp. 1573-1606). 2019

Persistent link: https://www.econbiz.de/10012144631

Using Chemotherapy Science Algorithm (CSA) to Solve the Knapsack Problem

Salmani, Mohammad Hassan; Eshghi, Kourosh - In: International Journal of Energy Optimization and … 7 (2018) 1, pp. 86-103

developing approximate, heuristic, and meta-heuristic algorithms. In this article, a new meta-heuristic algorithm is proposed on …

Persistent link: https://www.econbiz.de/10012044578

A Smart Structural Algorithm (SSA) Based on Infeasible Region to Solve Mixed Integer Problems

Salmani, Mohammad Hassan; Eshghi, Kourosh - In: International Journal of Applied Metaheuristic … 8 (2017) 1, pp. 24-44

-heuristic algorithms. This study proposes a meta-heuristic algorithm which mainly searches the infeasible region. In this approach, the …

Persistent link: https://www.econbiz.de/10012042940

Mathematical programming and grey wolf optimiser for minimising sum of the total due data assignment, maximum tardiness and delivery costs for a supply chain scheduling problem

Assarzadegan, Parisa; Rasti-Barzoki, Morteza; … - In: International journal of services and operations management 28 (2017) 3, pp. 373-403

Persistent link: https://www.econbiz.de/10011862857

A bi-objective location inventory model for three-layer supply chain network design considering capacity planning

Iranmanesh, Hamed; Kazemi, Abolfazl - In: International journal of logistics systems and management 26 (2017) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10011730198