Measuring the efficiency of organizations with hierarchical structures using DEA and game theory

Naser Ghasemi; Esmaeil Najafi; Farhad Hosseinzadeh Lotfi; Farzad Movahedi Sobhani

Volume 8, Issue 2 , January 2022, Pages 1-25

  Most organizations and companies have hierarchical structures, and appropriate models are required to measure the efficiency of this kind of network systems. Data envelopment analysis (DEA) is a well-known method introduced for measuring the relative efficiency of a set of decision-making units (DMUs) ...  Read More

Energy-aware reactive flexible job shop scheduling with timely delivery under uncertainty: a case study

Behnam Ayyoubzadeh; Sadoullah Ebrahimnejad; Mahdi Bashiri; Vahid Bardaran; Seyed Mohammad Hasan Hosseini

Volume 8, Issue 2 , January 2022, Pages 26-53

  This paper aims to confront the uncertainties in the flexible job shop scheduling (FJSS) problem by considering the tax regulations of energy consumption and timely delivery. Uncertainties include all unexpected disruptions such as machine breakdowns, modifications or cancellation of the orders, and ...  Read More

Complex adaptive systems, agent-based modeling and supply chain network management: A systematic literature review

Mohammad Hossein Sadat Hosseini Khajouei; Nazanin Pilevari; Reza Radfar; Ali Mohtashami

Volume 8, Issue 2 , January 2022, Pages 54-92

  In recent decades, researchers are turning to the potential of ABMs to study complex phenomena. Due to intrinsic interconnections, structural interactions and inter-dependencies, individual variations, and communications of various components, supply chain network should be accordingly treated as a complex ...  Read More

A routing- allocation model for relief logistics with demand uncertainty: A Genetic algorithm approach

Ali Bozorgi Amiri; Mostafa Akbari; Iman Dadashpour

Volume 8, Issue 2 , January 2022, Pages 93-110

  Quick response to the relief needs right after disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas. In this paper, by focusing on the distribution of relief commodities after disaster, the best possible allocation for the affected ...  Read More

Presenting a bi-objective integrated production planning model considering constraints on order acceptance, production and customer delivery using meta-heuristic algorithms

Morteza Karimi; Tahmoores Sohrabi; Hasan Mehrmanesh

Volume 8, Issue 2 , January 2022, Pages 111-137

  In this study, the problem of simultaneous determination of order acceptance, scheduling and batch delivery considering sequence-dependent setup and capacity constraint has been presented. This problem is a combination of the three problems of order acceptance, scheduling and batch delivery. The most ...  Read More

Success factors of innovation management in the banking industry using the grounded theory approach

S. Farid Mousavi; Adel Azar; S Hamid Khodadad

Volume 8, Issue 2 , January 2022, Pages 138-159

  Considering the role and importance of innovation in the performance of organizations in general and banking institutions in particular, the current work aims at identifying effective factors in the success of innovation management system in Iranian Banks, about which exists a scarcity of research in ...  Read More

Hybrid genetic algorithm for the economic-statistical design of variable sample size and sampling interval x-bar control chart

Mohammad Mirabi; Mohammad Taghi Fatemi Ghomi; Fariborz Jolai

Volume 8, Issue 2 , January 2022, Pages 160-174

  The design of control chart has economic consequences that pure statistical viewpoint does not consider them. The economic-statistical design of control chart, attends not only statistical properties such as average time to signal (ATS) but also economic consequences like hourly expected total cost. ...  Read More

Agent-based simulation-optimization model for a bi-objective stochastic multi-period supply chain design problem

Mojtaba Hajian Heidary

Volume 8, Issue 2 , January 2022, Pages 175-195

  During the last decade, many researchers have been attracted to study the role of uncertainties in their supply chain designs. Two important uncertainties of a supply chain are demand uncertainty and supply disruption. The basic concept of the proposed model of this paper is based on the newsvendor problem. ...  Read More

Scheduling the COVID-19 vaccine distribution based on data-driven decision-making methods

Mohammad Alipour-Vaezi; Reza Tavakkoli-Moghadaam; Mina Samieinasab

Volume 8, Issue 2 , January 2022, Pages 196-206

  Since human societies have endured massive financial disruptions and life losses after the outbreak of the COVID-19 pandemic, it is critical to eliminate this disease as soon as possible. Today, the invention of the COVID-19 vaccine made this objective more reachable. But unfortunately, the suppliant ...  Read More

Analysis of interaction among the intellectual capital components using interpretive structural modeling and MICMAC approach

Mohammad Saleh Owlia; Kosar Roshani; Mohammad Hossein Abooei

Volume 8, Issue 2 , January 2022, Pages 207-232

  In the age of a knowledge-based economy, identifying, measuring, and managing the intellectual capital (IC) of organizations has become very significant. These depend on identifying the main components of intellectual capital and their relationships. So far, however, no study has been conducted to clarify ...  Read More

Presenting a model of alignment of organization strategies with human resource strategies

Maryam Aghapoor Alishahi; GholamReza Rahimi; Mojtaba Ramazani; Nader Bohlooli

Volume 8, Issue 2 , January 2022, Pages 233-260

  Since one of the main dimensions of any organization in terms of survival and development is strategy, so the main purpose of this study is to provide a model of alignment of organizational strategies and human resource strategies for this purpose, both qualitative and quantitative methods have been ...  Read More

Designing a tourism industry model in Iran with the approach of the spatial correlation structure

Golnar Adabi; Ali Hajiha; Farhad Hosseinzadeh Lotfi

Volume 8, Issue 2 , January 2022, Pages 261-276

  Studies in the field of the tourism industry are often carried out using classical statistics. While the use of spatial statistics in tourism helps a lot in identifying existing models and trends in the industry and discovering them. Due to the interaction between economic, political, environmental and ...  Read More