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Blood supply chains (BSCs) play a strategic and crucial role in healthcare systems especially in unexpected situations such as earthquakes and pandemic outbreaks. Nevertheless, measuring the sustainability and resilience of BSCs is a major challenge for many decision-makers in healthcare systems. To this end, this paper presents an advanced network data envelopment analysis (NDEA) method to evaluate the sustainability and resilience of BSCs. We deal with BSCs, including blood collection centers (BCCs), blood production centers (BPCs), and blood distribution centers (BDCs). A new directional distance function (DDF) is also developed for evaluating both the overall and stage efficiency scores. Our proposed model can deal with different types of data, including integers, undesirable outputs, negative, zero, and positive. The undesirable outputs are the outputs that adversely impact the performance of DMUs. Moreover, the developed method addresses the sustainability and resilience of BSCs. A case study is provided to demonstrate the usefulness of the proposed model.
Reza Kazemi Matin; Majid Azadi; Reza Farzipoor Saen. Measuring the sustainability and resilience of blood supply chains. Decision Support Systems 2021, 113629 .
AMA StyleReza Kazemi Matin, Majid Azadi, Reza Farzipoor Saen. Measuring the sustainability and resilience of blood supply chains. Decision Support Systems. 2021; ():113629.
Chicago/Turabian StyleReza Kazemi Matin; Majid Azadi; Reza Farzipoor Saen. 2021. "Measuring the sustainability and resilience of blood supply chains." Decision Support Systems , no. : 113629.
The objective of this study is to present a new stochastic two-stage data envelopment analysis (DEA) model for assessing the sustainability of supply chains. Unlike the conventional DEA models, which consider each decision making unit as a black box, two-stage DEA models consider the intermediate products. The main contribution of the current paper is to develop a two-stage DEA model in centralized context in the presence of stochastic data. The efficacy of the developed approach is shown by a case study.
Mohammad Izadikhah; Reza Farzipoor Saen. Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry. Annals of Operations Research 2021, 1 -21.
AMA StyleMohammad Izadikhah, Reza Farzipoor Saen. Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry. Annals of Operations Research. 2021; ():1-21.
Chicago/Turabian StyleMohammad Izadikhah; Reza Farzipoor Saen. 2021. "Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry." Annals of Operations Research , no. : 1-21.
This study develops a double frontier fuzzy network data envelopment analysis (FNDEA) model for assessing the sustainable supply chains. The proposed FNDEA model evaluates the optimistic and pessimistic sustainability of supply chains. The α-cut approach is used to solve the proposed models. The main contribution of this paper is to develop a novel double frontier FNDEA model in the presence of undesirable outputs. To demonstrate the applicability of the proposed approach, the sustainable supply chains of tomato paste are assessed.
Mohammad Tavassoli; Amirali Fathi; Reza Farzipoor Saen. Assessing the sustainable supply chains of tomato paste by fuzzy double frontier network DEA model. Annals of Operations Research 2021, 1 -33.
AMA StyleMohammad Tavassoli, Amirali Fathi, Reza Farzipoor Saen. Assessing the sustainable supply chains of tomato paste by fuzzy double frontier network DEA model. Annals of Operations Research. 2021; ():1-33.
Chicago/Turabian StyleMohammad Tavassoli; Amirali Fathi; Reza Farzipoor Saen. 2021. "Assessing the sustainable supply chains of tomato paste by fuzzy double frontier network DEA model." Annals of Operations Research , no. : 1-33.
Supply chain finance (SCF) as a crucial approach plays a key role in improving commitment, trust, financial flows, and profitability in a supply chain (SC). Many industrial organisations finance their SC through two resources: internal financing (buyer) and external financing (bank). The main objective of this paper is to develop an advanced data envelopment analysis (DEA) model for measuring the sustainability of financing resources of Industry 4.0 technologies. To do so, for the first time a non-radial DEA model in the presence of both zero inputs and ratio data is proposed. In this paper, the sustainability factors, including economic, environmental, and social factors are incorporated into the proposed approach. The developed DEA model, for the first time, is applied in SCF. The results show the most sustainable financial resource for investing in Industry 4.0 technologies. Also, the inputs and outputs’ inefficiencies are determined.
Majid Azadi; Zohreh Moghaddas; Reza Farzipoor Saen; Farookh Khadeer Hussain. Financing manufacturers for investing in Industry 4.0 technologies: internal financing vs. External financing. International Journal of Production Research 2021, 1 -17.
AMA StyleMajid Azadi, Zohreh Moghaddas, Reza Farzipoor Saen, Farookh Khadeer Hussain. Financing manufacturers for investing in Industry 4.0 technologies: internal financing vs. External financing. International Journal of Production Research. 2021; ():1-17.
Chicago/Turabian StyleMajid Azadi; Zohreh Moghaddas; Reza Farzipoor Saen; Farookh Khadeer Hussain. 2021. "Financing manufacturers for investing in Industry 4.0 technologies: internal financing vs. External financing." International Journal of Production Research , no. : 1-17.
Window Data Envelopment Analysis (WDEA) is a popular, effective, and applicable methods for dynamic performance assessment of peer decision making units (DMUs). WDEA is a non-parametric panel method that operates based on the principle of moving averages and establishes efficiency measures by treating each DMU in different periods as a separate DMU. By applying the WDEA approach, a decision-maker (DM) can measure the efficiency of different DMUs in different periods through a sequence of overlapping windows. Also, WDEA can increase the discrimination power by increasing the number of DMUs when a limited number of DMUs is available. Given the advantages of the WDEA approach and its applications in real-world problems, this paper surveys and analyses 387 WDEA papers published from 1985 to 2020. The paper also recommends some suggestions, guidelines, and opportunities for future research. Notably, the findings show the applicability and efficacy of WDEA in the literature.
Pejman Peykani; Reza Farzipoor Saen; Fatemeh Sadat Seyed Esmaeili; Jafar Gheidar‐Kheljani. Window data envelopment analysis approach: A review and bibliometric analysis. Expert Systems 2021, e12721 .
AMA StylePejman Peykani, Reza Farzipoor Saen, Fatemeh Sadat Seyed Esmaeili, Jafar Gheidar‐Kheljani. Window data envelopment analysis approach: A review and bibliometric analysis. Expert Systems. 2021; ():e12721.
Chicago/Turabian StylePejman Peykani; Reza Farzipoor Saen; Fatemeh Sadat Seyed Esmaeili; Jafar Gheidar‐Kheljani. 2021. "Window data envelopment analysis approach: A review and bibliometric analysis." Expert Systems , no. : e12721.
Data envelopment analysis (DEA) is a widely used technique for the performance evaluation of decision making units. Cost efficiency is one of the important factors for the financial evaluation of a system. Financial factors are important as they can be used in sustainable supply chain management. There are many cost efficiency models in DEA. In this paper, to evaluate the cost efficiency, we deal with the undesirable outputs by DEA and the piecewise linear theory. The weight restrictions on criteria are incorporated into the proposed model. A case study is given.
Mohsen Vaez-Ghasemi; Zohreh Moghaddas; Reza Farzipoor Saen. Cost efficiency evaluation in sustainable supply chains with marginal surcharge values for harmful environmental factors: a case study in a food industry. Operational Research 2021, 1 -16.
AMA StyleMohsen Vaez-Ghasemi, Zohreh Moghaddas, Reza Farzipoor Saen. Cost efficiency evaluation in sustainable supply chains with marginal surcharge values for harmful environmental factors: a case study in a food industry. Operational Research. 2021; ():1-16.
Chicago/Turabian StyleMohsen Vaez-Ghasemi; Zohreh Moghaddas; Reza Farzipoor Saen. 2021. "Cost efficiency evaluation in sustainable supply chains with marginal surcharge values for harmful environmental factors: a case study in a food industry." Operational Research , no. : 1-16.
The objective of this paper is to assess the sustainability of supply chains by proposing a dynamic network data envelopment analysis (DNDEA) model in the presence of interval data, due to the fact that in many real-world applications, the condition of convexity in the production technology might be violated. To prevent this issue, a DNDEA model based on the free disposal hull (FDH) approach is developed. For the first time, this paper develops a DNDEA version of the free disposal hull (FDH) model in the context of the SCOR framework. It is also shown that this model always presents a finite efficiency score for assessing the sustainability of supply chains. Moreover, using this model, real benchmarks can be calculated to improve the sustainability of unsustainable supply chains. A case study in print industry is given. The results validate our proposed model.
Farhad Ebrahimi; Reza Farzipoor Saen; Balal Karimi. Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework. Environmental Science and Pollution Research 2021, 1 -29.
AMA StyleFarhad Ebrahimi, Reza Farzipoor Saen, Balal Karimi. Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework. Environmental Science and Pollution Research. 2021; ():1-29.
Chicago/Turabian StyleFarhad Ebrahimi; Reza Farzipoor Saen; Balal Karimi. 2021. "Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework." Environmental Science and Pollution Research , no. : 1-29.
This paper aims to identify the major research concepts studied in the literature of sustainability in construction projects. Two bibliometric analysis tools—(a) BibExcel and (b) Gephi, were used to analyze the bibliometrics indices of papers and visualize their interrelations as a network, respectively. Therefore, a research focus parallelship network (RFPN) analysis and keyword co-occurrence network (KCON) analysis were performed to uncover the primary research themes. The RFPN analysis clustered the studies into three major categories of evaluating sustainability, project management for sustainability, and drivers of sustainable construction. The KCON analysis revealed that while each paper had a different focus, the underlying concept of all clusters was sustainability, construction, and project management. We found that while ‘sustainability’ was the leading keyword in the first cluster, i.e., evaluating sustainability, it was the second top keyword with the eigenvector centrality of over 0.94 in the other two clusters. We also found that the concept of sustainability should be included in construction projects from the early stages of design and feasibility studies and must be monitored throughout the project life. This review showed that previous researchers used a variety of statistical and mathematical techniques such as structural equation modelling and fuzzy decision-making methods to study sustainability in construction projects. Using an integrated approach to identifying the research gaps in this area, this paper provides researchers with insights on how to frame new research to study sustainability in construction projects.
Reza Kiani Mavi; Denise Gengatharen; Neda Kiani Mavi; Richard Hughes; Alistair Campbell; Ross Yates. Sustainability in Construction Projects: A Systematic Literature Review. Sustainability 2021, 13, 1932 .
AMA StyleReza Kiani Mavi, Denise Gengatharen, Neda Kiani Mavi, Richard Hughes, Alistair Campbell, Ross Yates. Sustainability in Construction Projects: A Systematic Literature Review. Sustainability. 2021; 13 (4):1932.
Chicago/Turabian StyleReza Kiani Mavi; Denise Gengatharen; Neda Kiani Mavi; Richard Hughes; Alistair Campbell; Ross Yates. 2021. "Sustainability in Construction Projects: A Systematic Literature Review." Sustainability 13, no. 4: 1932.
Given international regulations, countries try to improve their sustainability. The objective of this paper is to assess the sustainability of Islamic countries and to present optimal strategies to promote their sustainability. In developing Islamic countries, increasing level of production requires clean technologies to achieve or promote their level of sustainable development. In this research, given natural disposability and managerial disposability, a new inverse data envelopment analysis model based on range adjusted measure is developed. We assess sustainability of Islamic countries. Then, we suggest how to improve sustainability of the Islamic countries. Our new model determines optimal inputs and outputs given natural disposability and managerial disposability so that the sustainability score of countries is unchanged.
Sara Yousefi; Amir Hassanzadeh; Reza Farzipoor Saen; Zohreh Mousavi Kashi. Assessing sustainability of Islamic countries via data envelopment analysis (DEA). Clean Technologies and Environmental Policy 2021, 1 -15.
AMA StyleSara Yousefi, Amir Hassanzadeh, Reza Farzipoor Saen, Zohreh Mousavi Kashi. Assessing sustainability of Islamic countries via data envelopment analysis (DEA). Clean Technologies and Environmental Policy. 2021; ():1-15.
Chicago/Turabian StyleSara Yousefi; Amir Hassanzadeh; Reza Farzipoor Saen; Zohreh Mousavi Kashi. 2021. "Assessing sustainability of Islamic countries via data envelopment analysis (DEA)." Clean Technologies and Environmental Policy , no. : 1-15.
To survive, organizations should inevitably work based on sustainability principles in an ever-increasing changes of markets. Appropriate flexibility and responsiveness are particularly important when considering sustainability issue and market changes in clustering problem. One of the uses of clustering can be allocation of resources and equipment for providing the highest level of customer service which has been a matter of concern for decision makers in distributive companies. Capacitive clustering is a common method for solving allocation and distribution problems. However, traditional clustering models ignore sustainability criteria in defining clusters’ capacity. The objective of this study, therefore, is to propose a novel method for optimizing resource allocation for customers given the sustainability criteria. Capacitive clustering is a technique that has a widespread application in data mining. This approach has been used for equipment distribution, sales targeting, market segmentation, etc. One prevalent clustering method is growing neural gas network (GNGN) technique. GNGN is a neural network with uncontrolled learning. In this paper, for the first time, we utilize GNGN to cluster customers given sustainability criteria. Here, the clusters’ centers are determined and allocated with regard to capacity constraints of the clusters. The obtained results in general can be regarded as an optimized sustainable distribution system in which the number of trucks, distribution routes as well as fuel consumptions and environmental pollutions are minimized. We can also refer to reductions in urban traffic, maintenance costs, staff costs, and decreases in the fatigue of drivers and distributers due to the proximity of supermarkets. An illustrative case study is done to indicate the applicability and remarkable contributions of the suggested clustering approach.
Saeed Yousefi; Hadi Shabanpour; Reza Farzipoor Saen. Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company. RAIRO - Operations Research 2021, 55, 51 -60.
AMA StyleSaeed Yousefi, Hadi Shabanpour, Reza Farzipoor Saen. Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company. RAIRO - Operations Research. 2021; 55 (1):51-60.
Chicago/Turabian StyleSaeed Yousefi; Hadi Shabanpour; Reza Farzipoor Saen. 2021. "Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company." RAIRO - Operations Research 55, no. 1: 51-60.
The use of new, digitally enabled innovations, such as building information modeling (BIM), raises issues such as the delineation of a competent leader. Even though BIM-based competency assessment models have become essential tools for maximizing the potential values of BIM implementation, the current competency models provide limited focus on leadership aspects that facilitate and enhance the BIM implementation efforts. This paper seeks to identify the specific competencies required for BIM implementation and examines the relationships between these competencies. Thirty-two experts from around the globe investigated a total of 15 leadership competencies under three categories pertaining to intellectual, managerial, and emotional leadership. Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) was implemented to examine the cause-and-effect relationships among the BIM leadership competencies and fuzzy analytic network process (ANP) was performed to weigh those competencies. Findings show that the intellectual competencies act as the cause group, while managerial and emotional competencies are the effect groups. Moreover, the involving leadership is found to be the more suitable leadership style for BIM professionals, given the current capability and maturity levels of BIM implementation, in order to deal with the required changes throughout the BIM implementation process. This study contributes to the existing body of knowledge in the BIM domain to examine the associated leadership competencies by using the multi-criteria decision-making (MCDM) technique. The results of this research show the relative importance of criteria and sub-criteria, which contributes to further improvement of BIM leadership.
Seyed Mirhosseini; Reza Kiani Mavi; Neda Kiani Mavi; Behzad Abbasnejad; Farzaneh Rayani. Interrelations among Leadership Competencies of BIM Leaders: A Fuzzy DEMATEL-ANP Approach. Sustainability 2020, 12, 7830 .
AMA StyleSeyed Mirhosseini, Reza Kiani Mavi, Neda Kiani Mavi, Behzad Abbasnejad, Farzaneh Rayani. Interrelations among Leadership Competencies of BIM Leaders: A Fuzzy DEMATEL-ANP Approach. Sustainability. 2020; 12 (18):7830.
Chicago/Turabian StyleSeyed Mirhosseini; Reza Kiani Mavi; Neda Kiani Mavi; Behzad Abbasnejad; Farzaneh Rayani. 2020. "Interrelations among Leadership Competencies of BIM Leaders: A Fuzzy DEMATEL-ANP Approach." Sustainability 12, no. 18: 7830.
Owing to the increasing importance of sustainable supply chain management (SSCM), it has received much attention from both corporate and academic over the past decade. SSCM performance evaluation plays a crucial role in organizations success. One of the practical techniques that can be used for SSCM performance assessment is network data envelopment analysis (NDEA). This paper develops a new NDEA for performance evaluation of SSCM in the presence of stochastic data. The proposed model can evaluate the efficiency of SSCM under uncertain conditions. A case study in the soft drinks industry is presented to demonstrate the efficacy of the proposed method.
Mohammad Izadikhah; Elnaz Azadi; Majid Azadi; Reza Farzipoor Saen; Mehdi Toloo. Developing a new chance constrained NDEA model to measure performance of sustainable supply chains. Annals of Operations Research 2020, 1 -29.
AMA StyleMohammad Izadikhah, Elnaz Azadi, Majid Azadi, Reza Farzipoor Saen, Mehdi Toloo. Developing a new chance constrained NDEA model to measure performance of sustainable supply chains. Annals of Operations Research. 2020; ():1-29.
Chicago/Turabian StyleMohammad Izadikhah; Elnaz Azadi; Majid Azadi; Reza Farzipoor Saen; Mehdi Toloo. 2020. "Developing a new chance constrained NDEA model to measure performance of sustainable supply chains." Annals of Operations Research , no. : 1-29.
The construction industry routinely extracts vast quantities of materials and releases deleterious pollutant emissions to the biosphere. In this study, we propose an integrated data envelopment analysis (DEA) and life cycle assessment (LCA) method to measure the performance of eco-friendly building materials in green construction management. Initially, we use the LCA method and environmental impact analysis to identify alternative green flooring systems and relevant sustainability criteria. We then use factor analysis to further evaluate these criteria and choose the most significant sustainability factors. Finally, a DEA model and a new enhanced Russell model (ERM) is proposed to measure the performance of the green flooring systems with factor analysis.
Madjid Tavana; Mohammad Izadikhah; Reza Farzipoor Saen; Ramin Zare. An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management. Environmental Science and Pollution Research 2020, 28, 664 -682.
AMA StyleMadjid Tavana, Mohammad Izadikhah, Reza Farzipoor Saen, Ramin Zare. An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management. Environmental Science and Pollution Research. 2020; 28 (1):664-682.
Chicago/Turabian StyleMadjid Tavana; Mohammad Izadikhah; Reza Farzipoor Saen; Ramin Zare. 2020. "An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management." Environmental Science and Pollution Research 28, no. 1: 664-682.
Assessing the efficiency of a supply chain (SC) is of great importance for managers and policy makers. For this aim, we propose a network data envelopment analysis (NDEA) model to reflect the internal structure of networks in efficiency evaluation. For many of the real-world performance evaluation problems, data of inputs and outputs are available, and their ratio conveys important messages to managers. However, conventional data envelopment analysis (DEA) models are no longer able to deal with ratio data. This paper aims to extend the NDEA models with the ratio data (NDEA-R) to evaluate the performance of SCs. Therefore, given the internal structure of a supply chain, relationships among different divisions of an SC are determined under two assumptions of free-links and fixed-links. Applicability of the proposed models is illustrated by evaluating supply chain of 19 hospitals in Iran over 6 months. By performing sensitivity analysis, we find out that the overall efficiency score of decision-making units (DMUs) under the fixed link assumption is greater than or equal to the overall efficiency of DMUs under free link assumption. Our proposed model overcomes the underestimation of efficiency and pseudo-inefficiency scores.
Javad Gerami; Reza Kiani Mavi; Reza Farzipoor Saen; Neda Kiani Mavi. A novel network DEA-R model for evaluating hospital services supply chain performance. Annals of Operations Research 2020, 1 -26.
AMA StyleJavad Gerami, Reza Kiani Mavi, Reza Farzipoor Saen, Neda Kiani Mavi. A novel network DEA-R model for evaluating hospital services supply chain performance. Annals of Operations Research. 2020; ():1-26.
Chicago/Turabian StyleJavad Gerami; Reza Kiani Mavi; Reza Farzipoor Saen; Neda Kiani Mavi. 2020. "A novel network DEA-R model for evaluating hospital services supply chain performance." Annals of Operations Research , no. : 1-26.
PurposeThe purpose of this study is to propose a novel super-efficiency DEA model to appraise the relative efficiency of DMUs with zero data and stochastic data. Our model can work with both variable returns to scale (VRS) and constant returns to scale (CRS).Design/methodology/approachThis study proposes a new stochastic super-efficiency DEA (SSDEA) model to assess the performance of airlines with stochastic and zero inputs and outputs.FindingsThis paper proposes a new analysis and contribution to the knowledge of efficiency assessment with stochastic super-efficiency DEA model by (1) using input saving and output surplus index for efficient DMUs to get the optimal solution; (2) obtaining efficiency scores from the proposed model that are equivalent to original stochastic super-efficiency model when feasible solutions exist. A case study is given to illustrate the applicability of our proposed model. Also, poor performance reasons are identified to improve the performance of inefficient airlines.Originality/valueFor the first time, a new SSDEA model for ranking DMUs is proposed. The introduced model produces a feasible solution when dealing with zero input or output. This paper applies the input saving and output surplus concept to rectify the infeasibility problem in the stochastic DEA model.
Mohammad Tavassoli; Amirali Fathi; Reza Farzipoor Saen. Developing a new super-efficiency DEA model in the presence of both zero data and stochastic data: a case study in the Iranian airline industry. Benchmarking: An International Journal 2020, 28, 42 -65.
AMA StyleMohammad Tavassoli, Amirali Fathi, Reza Farzipoor Saen. Developing a new super-efficiency DEA model in the presence of both zero data and stochastic data: a case study in the Iranian airline industry. Benchmarking: An International Journal. 2020; 28 (1):42-65.
Chicago/Turabian StyleMohammad Tavassoli; Amirali Fathi; Reza Farzipoor Saen. 2020. "Developing a new super-efficiency DEA model in the presence of both zero data and stochastic data: a case study in the Iranian airline industry." Benchmarking: An International Journal 28, no. 1: 42-65.
This study aims to test the impact of organizational structure on the innovation capability and operational performance of manufacturing firms considering innovation capability as a moderator. Data were collected through a survey completed by 212 medium and large manufacturers in Malaysia and analysed using the partial least squares technique. Results show that specialization, formalization, informal social relations and link mechanisms have positive significant effects on innovation capability. Furthermore, the relationship between innovation capability and operational performance is supported. Innovation capability also positively moderates the impacts of informal social relations and link mechanisms on firms’ innovation capability. Findings of this study help managers of manufacturing firms to enhance their firms’ innovation capability and operational performance. This study is the first attempt in the organizational structure literature to operationalize innovation capability and operational performance using a multidimensional concept. Furthermore, this study also extends the literature by testing the moderating effect of the innovative culture.
Mohammad Iranmanesh; Kavigtha Mohan Kumar; Behzad Foroughi; Reza Kian Mavi; Ng Hui Min. The impacts of organizational structure on operational performance through innovation capability: innovative culture as moderator. Review of Managerial Science 2020, 1 -27.
AMA StyleMohammad Iranmanesh, Kavigtha Mohan Kumar, Behzad Foroughi, Reza Kian Mavi, Ng Hui Min. The impacts of organizational structure on operational performance through innovation capability: innovative culture as moderator. Review of Managerial Science. 2020; ():1-27.
Chicago/Turabian StyleMohammad Iranmanesh; Kavigtha Mohan Kumar; Behzad Foroughi; Reza Kian Mavi; Ng Hui Min. 2020. "The impacts of organizational structure on operational performance through innovation capability: innovative culture as moderator." Review of Managerial Science , no. : 1-27.
Purpose The objective of this paper is to propose a new data envelopment analysis (DEA) model for assessing sustainability of suppliers with partial impacts between inputs, desirable outputs and undesirable outputs. Design/methodology/approach This paper examines partial impacts of inputs on desirable and undesirable outputs and applies weak disposability assumption to propose a novel DEA model to determine the sustainability of suppliers. Findings This paper shows the type of resource sharing in DEA models and takes into account sustainable development and sustainability assessment concepts for sustainable supplier selection problem and develops a DEA model for selecting the most sustainable suppliers with partial sharing of resources. To select the most sustainable suppliers, this model helps managers to consider aggregate efficiency, overall efficiency and bundle efficiency. The paper introduces the supplier which is efficient at all levels as the most sustainable supplier. Originality/value For the first time, this paper suggests a new DEA model by partial impact between inputs and good outputs/bad outputs for selecting sustainable supplier and deals with the situations in which each supplier has several subunits. The new model calculates aggregate efficiency, overall efficiency and subunit efficiency of supplier. paper introduces the supplier which is efficient in all levels including aggregate efficiency, overall efficiency and subunit efficiency as the best supplier.
Mohammad Nemati; Reza Farzipoor Saen; Reza Kazemi Matin. A data envelopment analysis approach by partial impacts between inputs and desirable-undesirable outputs for sustainable supplier selection problem. Industrial Management & Data Systems 2020, 121, 809 -838.
AMA StyleMohammad Nemati, Reza Farzipoor Saen, Reza Kazemi Matin. A data envelopment analysis approach by partial impacts between inputs and desirable-undesirable outputs for sustainable supplier selection problem. Industrial Management & Data Systems. 2020; 121 (4):809-838.
Chicago/Turabian StyleMohammad Nemati; Reza Farzipoor Saen; Reza Kazemi Matin. 2020. "A data envelopment analysis approach by partial impacts between inputs and desirable-undesirable outputs for sustainable supplier selection problem." Industrial Management & Data Systems 121, no. 4: 809-838.
Purpose The aim of this paper is to classify suppliers into some clusters based on sustainability factors. However, there might be some unqualified suppliers and we should identify and remove those suppliers before clustering. Design/methodology/approach First, using fuzzy screening system, the authors identify and remove the unqualified suppliers. Then, the authors run their proposed clustering method. This paper proposes a data envelopment analysis (DEA) algorithm to cluster suppliers. Findings This paper presents a two-aspect DEA-based algorithm for clustering suppliers into clusters. The first aspect applied DEA to consider efficient frontiers and the second aspect applied DEA to consider inefficient frontiers. The authors examine their proposed clustering approach by a numerical example. The results confirmed that their method can cluster DMUs into clusters. Originality/value The main contributions of this paper are as follows: This paper develops a new clustering algorithm based on DEA models. This paper presents a new DEA model in inefficiency aspect. For the first time, the authors’ proposed algorithm uses fuzzy screening system and DEA to select suppliers. Our proposed method clusters suppliers of MPASR based on sustainability factors.
Mohammad Izadikhah; Reza Farzipoor Saen; Kourosh Ahmadi; Mohadeseh Shamsi. How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran. Journal of Enterprise Information Management 2020, 34, 199 -229.
AMA StyleMohammad Izadikhah, Reza Farzipoor Saen, Kourosh Ahmadi, Mohadeseh Shamsi. How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran. Journal of Enterprise Information Management. 2020; 34 (1):199-229.
Chicago/Turabian StyleMohammad Izadikhah; Reza Farzipoor Saen; Kourosh Ahmadi; Mohadeseh Shamsi. 2020. "How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran." Journal of Enterprise Information Management 34, no. 1: 199-229.
Surya Prakash Singh; Malin Song; R. R. K. Sharma; Ron Fisher; R. K. Amit; Reza Farzipoor Saen. Preface: sustainable operations in manufacturing enterprise. Annals of Operations Research 2020, 290, 1 -4.
AMA StyleSurya Prakash Singh, Malin Song, R. R. K. Sharma, Ron Fisher, R. K. Amit, Reza Farzipoor Saen. Preface: sustainable operations in manufacturing enterprise. Annals of Operations Research. 2020; 290 (1-2):1-4.
Chicago/Turabian StyleSurya Prakash Singh; Malin Song; R. R. K. Sharma; Ron Fisher; R. K. Amit; Reza Farzipoor Saen. 2020. "Preface: sustainable operations in manufacturing enterprise." Annals of Operations Research 290, no. 1-2: 1-4.
This paper identifies the major research concepts, techniques, and models covered in the cross-docking literature. A systematic literature review is conducted using the BibExcel bibliometric analysis and Gephi network analysis tools. A research focus parallelship network (RFPN) analysis and keyword co-occurrence network (KCON) analysis are used to identify the primary research themes. The RFPN results suggest that vehicle routing, inventory control, scheduling, warehousing, and distribution are most studied. Of the optimization and simulation techniques applied in cross-docking, linear and integer programming has received much attention. The paper informs researchers interested in investigating cross-docking through an integrated perspective of the research gaps in this domain. This paper systematically reviews the literature on cross-docking, identifies the major research areas, and provides a survey of the techniques and models adopted by researchers in the areas related to cross-docking.
Reza Kiani Mavi; Mark Goh; Neda Kiani Mavi; Ferry Jie; Kerry Brown; Sharon Biermann; Ahmad Khanfar. Cross-Docking: A Systematic Literature Review. Sustainability 2020, 12, 4789 .
AMA StyleReza Kiani Mavi, Mark Goh, Neda Kiani Mavi, Ferry Jie, Kerry Brown, Sharon Biermann, Ahmad Khanfar. Cross-Docking: A Systematic Literature Review. Sustainability. 2020; 12 (11):4789.
Chicago/Turabian StyleReza Kiani Mavi; Mark Goh; Neda Kiani Mavi; Ferry Jie; Kerry Brown; Sharon Biermann; Ahmad Khanfar. 2020. "Cross-Docking: A Systematic Literature Review." Sustainability 12, no. 11: 4789.