1. Evaluation of Iranian electronic products manufacturing industries using an unsupervised model, ARAS, SAW, and DEA models

Malek Hassanpour

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 1-24


  Iranian electronic products supplier industries are developing day by day and modern techniques and facilities are assigning as well as many promotions about green products supply chain as input materials introduced into the generation cycle of industries. Current cluster study of Iranian Electronic ...  Read More

2. Revenue management and seller pricing decisions in retail industry: An agent-based model

Pooyan Hajy Alikhani; Mohamad Reza Sadeghi Moghadam; Seyed Mostafa Razavi; Ali Mohaghar

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 25-43


  Retailers commonly offer discounts to encourage consumers to purchase more products thereby increasing retailers’ revenues. This article focuses on modeling the seller pricing decisions by using agent-based approach when the price, as a tool of revenue management, decreases. Considering the seller ...  Read More

3. A bi-objective model for the assembly flow shop scheduling problem with sequence dependent setup times and considering energy consumption

Seyed Mohammad Hassan Hosseini

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 44-64


  The two-stage assembly flowshop scheduling problem has been studied in this research. Suppose that a number of products of different kinds are needed to be produced. Each product is consists of several parts. There are m uniform machines in the first stage to manufacture the components (parts) of products ...  Read More

4. Identifying and ranking effective lean production factors on economic performance of production companies in Mazandaran province of Iran based on FDANP approach

Mohammad Ehsanifar; Nima Hamta; Fariba EsmaeilZadeh

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 65-77


  This paper identified and ranked the lean product factors effecting economic function of production companies in Mazandaran province. 24 sub-factors and five main factors were categorized including supplier management, purchase and provision system, human resource organization, organizing, leadership, ...  Read More

5. A new approach for solving fuzzy multi-objective quadratic programming of water resource allocation problem

Hadi Nasseri; Abdollah Baghban; Iraj Mahdavi

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 78-102


  This paper describes an application of fuzzy multi-objective quadratic model with flexible constraints for optimal allocation of limited available water resources among different water-user sectors. Due to the fact that, water resource allocation problem is one of the practical and essential subjects ...  Read More

6. Integrated sourcing and inventory decisions considering sources’ disruptions with a hybrid simulation-MOPSO-TOPSIS approach: A pharmaceutical case study

Majid Adeli; Mostafa Zandieh; Alireza Motameni

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 103-119


  In this research, the integrated sourcing and inventory policy problem in a pharmaceutical distribution company is investigated. In order to select the superior solution, a new tool is introduced. Sourcing is one of the most critical issues in pharmaceutical industry. In addition, drug inventory shortages ...  Read More

7. Bi-objective robust optimization model for configuring cellular manufacturing system with variable machine reliability and parts demand: A real case study

Hiwa Farughi; Sobhan Mostafayi; Ahmadreza Afrasiabi

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 120-146


  In this paper, a bi-objective mixed-integer mathematical model is presented for configuration of a dynamic cellular manufacturing system. In this model, dynamic changes and uncertainty in parts demand and machines reliability are considered. The first objective function minimizes total costs and the ...  Read More

8. Cycle time reduction for productivity improvement in the manufacturing industry

Ismail Taifa; Tosifbhai Vhora

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 147-164


  Cycle time is one of the viable parameters which needs to be optimised as much as possible whenever the manufacturing industry is trying to improve efficiency, cost base and customer responsiveness. This systematic study presents on the reduction of cycle time for productivity improvement in the manufacturing ...  Read More

9. Queuing approach and optimal inventory decisions in a stochastic supply ‎chain network design

Ehsan Dehghani; Peyman Taki

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 165-187


  This paper addresses an integrated multi-echelon location-allocation-inventory problem in a ‎stochastic supply chain. In a bid to be more realistic, the demand and lead time are considered ‎to be hemmed in by uncertainty. To tackle the proposed supply chain network design problem, ‎a two-phase ...  Read More

10. Survey factors affecting performance of industrial clusters by using Panel-VAR model

vida varahrami

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 188-195


  In every country, the efficiency and probability of small and medium firms will cause to economic growth. In this regard, present study aimed to investigate the effective factors on the performance of active industrial clusters in large and industrial provinces by Panel-VAR model during 2006-2015. Results ...  Read More

11. A novel multi-objective model for two-echelon green routing problem of perishable products with intermediate depots

Erfan Babaee Tirkolaee; Shaghayegh Hadian; Heris Golpira

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 196-213


  Multi-echelon distribution mechanism is common in supply chain design and logistics systems in which freight is delivered to the customers through intermediate depots (IDs), instead of using direct shipments. This primarily decreases the cost of the chain and consequences of environmental (energy consumption) ...  Read More

12. Measuring performance of a hybrid system based on imprecise data: Modeling and solution approaches

Ehsan Vaezi; Seyyed Esmaeil Najafi; Seyed mohamad Haji Molana; Farhad Hosseinzadeh Lotfi; Mahnaz Ahadzadeh Namin

Volume 6, Issue 2 , Summer and Autumn 2019, Pages 214-241


  Data Envelopment Analysis (DEA) is one of the methods most widely used for measuring the relative efficiency of DMUs in the world today.  The efficiency evaluation of the network structure opens the “black box” and considers the internal structure of systems. In this paper, a three-stage ...  Read More