Modeling the key barriers of knowledge management adoption in sustainable supply chain

2020 ◽  
Vol 33 (5) ◽  
pp. 1077-1109 ◽  
Author(s):  
Muhammad Nazam ◽  
Muhammad Hashim ◽  
Sajjad Ahmad Baig ◽  
Muhammad Abrar ◽  
Rizwan Shabbir
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Bullwhip Effect ◽  
Sustainable Supply Chain ◽  
Fuzzy Analytical Hierarchy Process ◽  
Food Sector ◽  
Content Type ◽  
Fuzzy Vikor ◽  
Hierarchy Process

PurposeThe food industry is crucial in delivering healthy products for life saving of the society. The identification of key barriers of knowledge management (KM) is desired to enhance the sustainability of the industry. KM has been seen as a part of sustainable development by reducing the bullwhip effect in the entire supply chain. The core objective of the existing research is to prioritize the essential factors of KM adoption in sustainable supply chain (SSC) based on fuzzy analytical hierarchy process (FAHP) method.Design/methodology/approachIn order to fulfill objectives of this study, an extensive review of literature and a questionnaire-based field visits were conducted. A total of five major barriers categories and 22 sub-barriers categories were identified in food sector of Pakistan using experts' inputs. This study employed fuzzy analytical hierarchy process (FAHP).FindingsManagerial barriers, innovation and technological barriers categories are found to be highly prioritized among others. Further, the sensitivity analysis is applied to check the incremental changes of ranked barriers. This prioritization of barriers and incremental changes in them is expected to serve food sector for long-term sustainability and competitive advantage for importers and exporters. Finally, the findings of this research are very helpful for industrial experts, practitioners, consultants and government officials in effectively developing policies regarding KM adoption in line with sustainable goals.Research limitations/implicationsThe present work is conducted in the Pakistani context; however, the benchmark model may be tested and applied to other developing countries to compare the outcomes. For further research, the identified barriers may also be evaluated to establish their inter-relationships, using ISM, DEMATEL, ANP, etc. Similarly, the results of this study can also be compared with that of other fuzzy multi-criteria techniques like fuzzy TOPSIS, fuzzy VIKOR, fuzzy ELECTRE, fuzzy PROMETHEE, or fuzzy VIKOR.Practical implicationsThis research study can facilitate policymakers, government bodies, stakeholders and supply chain professionals to recognize the key barriers they may encounter in adopting KM practices in their SSC. Additionally, this work helps managers to evaluate the identified barriers by computing their relative importance in adopting KM practices at managerial levels like strategically, tactically and operationally activities in business. This study also facilitates industrial management in formulating policies and action plans in case of implementation, eliminating the barriers in adoption of KM, and SSC successfully.Originality/valueFew research studies were conducted on KM adoption in industries of China, India, Turkey, Saudi Arabia and Malaysia, but due to workforce diversity these industries have dissimilar views of experts about KM adoption. This study significantly contributed to fill the existing literature gap for prioritization of key barriers against KM implementation in Pakistani context.

Triple bottom line performance evaluation of reverse logistics

2016 ◽  
Vol 26 (3) ◽  
pp. 289-310 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh Kr Singh ◽  
Qasim Murtaza
Keyword(s):  
Performance Evaluation ◽  
Performance Measures ◽  
Analytical Hierarchy Process ◽  
Reverse Logistics ◽  
Triple Bottom Line ◽  
Fuzzy Analytical Hierarchy Process ◽  
Bottom Line ◽  
Content Type ◽  
Performance Indexes ◽  
Hierarchy Process

Purpose The paper aims to incorporate the relationship of reverse logistics into the economic, environmental, and social sustainability, known as triple bottom line and developed a framework for reverse logistics performance evaluation. Design/methodology/approach The performance measures, based on triple bottom line approach, were selected, and fuzzy analytical hierarchy process and extent analysis approach was applied for estimating the weights, global weights of performance measures and hence, the reverse logistics performance index. Reverse logistics performance of three electronic companies were evaluated and compared for the demonstration of the methodology. Findings The results show that economic performance has highest performance index followed by environmental performance and social performance. “Recapturing value” and “return on investment” from economic, “minimum energy consumption” and “optimum use of raw material” from environmental and “community complaints” and “customer health and safety” from social perspective have higher performance indexes. Over all, “reduced packaging”, “use of recycled material” and “employee benefits” show very poor performance indexes. Research Limitations/implications The study will provide useful guidance to the academicians and practitioners for evaluating, improving and benchmarking the reverse logistics performance. Originality/value The analysis adds to the very few studies on triple bottom line aspects of reverse logistics and its performance evaluation. Also, fuzzy analytical hierarchy process and extent analysis is used first time being an efficient tool to tackle the fuzziness of the data involved in performance evaluation.

A stakeholders’ perspective on barriers to adopt sustainable practices in MSME supply chain

2018 ◽  
Vol 22 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Swayam Sampurna Panigrahi ◽  
Nune Srinivasa Rao
Keyword(s):  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Geographical Area ◽  
Environmental Conservation ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
The Government ◽  
Medium Enterprises ◽  
Hierarchy Process

Purpose Enterprises face the wrath of the government for taking part in environmental conservation and adoption of sustainable initiatives along with customer demands. Therefore, enterprises are forced to adopt sustainable supply chain practices (SSCPs), which leads to competitive advantage. Now, sustainable supply chain management (SSCM) is a management process that promotes the adoption of eco-friendly activities in conventional supply chains (SCs). Enterprises in India are under tremendous pressure to include SSCPs into their conventional SCs. The goal of this paper is to evaluate the barriers for the implementation of SSCPs into Indian Micro, Small and Medium Enterprises (MSMEs). Design/methodology/approach This study aims to identify critical barriers for adoption of SSCPs in the textile MSME SCs located in Eastern India, Odisha with the help of interpretive structural modeling (ISM). Findings The paper develops a framework for the evaluation of barriers to the adoption of SSCP in the textile SC. This paper also provides appropriate suggestive measures to deal with the barriers and overcome the same to attain a sustainable textile SC. Research limitations/implications Opportunities exist for extension of this research on wider geographical area. In addition to this, some other quantitative modeling approaches can be applied, like analytical hierarchy process, to prioritize the barriers. Practical implications The framework offers help to SC managers in their decision-making process by enabling them to analyze the barriers and ways to overcome them. Originality/value The paper deals with a particular geographical area where such kinds of studies are rare. The proposed framework provides a foundation for further research.

scholarly journals Integrated analytical hierarchy process and grey relational analysis approach to measure supply chain complexity

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sujan Piya ◽  
Ahm Shamsuzzoha ◽  
Mohammed Khadem ◽  
Mahmoud Al Kindi
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Grey Relational Analysis ◽  
Extensive Literature ◽  
Content Type ◽  
Relational Analysis ◽  
Grey Relational ◽  
Hierarchy Process

PurposeThe purpose of this paper is to understand the drivers that create complexity in the supply chain and develop a mathematical model to measure the level of supply chain complexity (SCC).Design/methodology/approachThrough extensive literature review, the authors discussed various drivers of SCC. These drivers were classified into five dimensions based on expert opinion. Moreover, a novel hybrid mathematical model was developed by integrating analytical hierarchy process (AHP) and grey relational analysis (GRA) methods to measure the level of SCC. A case study was conducted to demonstrate the applicability of the developed model and analyze the SCC level of the company in the study.FindingsThe authors identified 22 drivers of SCC, which were further clustered into five complexity dimensions. The application of the developed model to the company in the case study showed that the SCC level of the company was 0.44, signifying that there was a considerable scope of improvement in terms of minimizing complexity. The company that serves as the focus of this case study mainly needs improvement in tackling issues concerning government regulation, internal communication and information sharing and company culture.Originality/valueIn this paper, the authors propose a model by integrating AHP and GRA methods that can measure the SCC level based on various complexity drivers. The combination of such methods, considering their ability to convert the inheritance and interdependence of drivers into a single mathematical model, is preferred over other techniques. To the best of the authors' knowledge, this is the first attempt at developing a hybrid multicriteria decision-based model to quantify SCC.

Fuzzy-analytical-hierarchy process in failure mode and effect analysis (FMEA) to identify process failure in the warehouse of a cement industry

2019 ◽  
Vol 18 (2) ◽  
pp. 378-388
Author(s):  
Azmi Hassan ◽  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Cement Industry ◽  
Analysis Method ◽  
Fuzzy Analytical Hierarchy Process ◽  
Content Type ◽  
Hierarchy Process ◽  
Process Failures

Purpose This paper aims to identify and reduce possible process failures occurred in warehouse. Design/methodology/approach This research used risk analysis method FMEA combined with fuzzy-analytical hierarchy process (AHP). Design FMEA will direct the failure mode or failure of components into levels and will use it to analyze the product before it used in manufacturing processes. Design FMEA has a major point on the failure mode that caused inefficiency in the design while fuzzy-AHP used to reduce subjectivity in the weighting process. Findings The results show that high inventory is the dominant factor that must be controlled by the company to prevent the risk of failure processes in the warehouse, followed by the number of stocks that do not match with existing records, and misplacement of machines and/or materials. Originality/value This research used risk analysis method FMEA combined with fuzzy-AHP to identify and reduce the possible process failures in warehousing.

Prioritizing resilient capability factors of dealing with supply chain disruptions: an analytical hierarchy process (AHP) application in the textile industry

2020 ◽  
Vol 27 (9) ◽  
pp. 2537-2563
Author(s):  
Arsalan Zahid Piprani ◽  
Noor Ismawati Jaafar ◽  
Suhana Mohezar Ali
Keyword(s):  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Textile Industry ◽  
Multicriteria Decision Making ◽  
Supply Chain Disruptions ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Negative Impacts ◽  
Integrated Supply Chain ◽  
Hierarchy Process

PurposeThe purpose of the study is to determine and prioritize the resilient capability factors at different stages of supply chain disruptions in Pakistan's textile industry.Design/methodology/approachThe study employs a two-stage methodology. In the first stage, the extant literature was reviewed, and based on that, experts' panel consultations were conducted to identify the resilient capability factors at the different stages of supply chain. In the second stage, analytical hierarchy process (AHP) methodology was used to rank the resilient capability factors needed in Pakistan's textile industry.FindingsThe results show that building an integrated supply chain ranking is one of the most critical practices in bolstering supply chain resilience. The results also reveal that firms should focus on the readiness phase of resilience as it is categorized as the most important phase.Practical implicationsThe findings of the study provide supply chain professionals with a clear consideration of the critical factors that are needed to build supply chain resilience. From an industry-specific perspective, the study offers guidelines on what resilient capability factors should be regarded as critical when implementing resilient capabilities in order to reduce the negative impacts of disruptions.Originality/valueThe study is among the first studies in prioritizing the resilient capability factors at different phases of supply chain disruptions. The study would provide further opportunities for future researchers in using other multicriteria decision-making tools.

scholarly journals Design of a multi criteria decision model-fuzzy analytical hierarchy approach

2017 ◽  
Vol 7 (1.1) ◽  
pp. 116
Author(s):  
P. Sona ◽  
T. Johnson ◽  
C. Vijayalakshmi
Keyword(s):  
Supply Chain ◽  
Automobile Industry ◽  
Analytical Hierarchy Process ◽  
Decision Model ◽  
Efficient Production ◽  
Vendor Selection ◽  
Fuzzy Analytical Hierarchy Process ◽  
Chain Management ◽  
Hierarchy Process ◽  
Important Activity

In Supply Chain Management(SCM),vendor selection has become a very important activity. By selecting the appropriate vendor, companies can avoid barriers and do for efficient production. The aim of this paper is to identify the important criteria that may develop strategies of the organizations. It deals with the analysis of vendor selection problem using Fuzzy Analytical Hierarchy Process (FAHP).The comparison has made between the parameters criteria and alternatives by designing a model of uncertainty. The proposed method has applied in an automobile industry to choose their vendors in a best way.

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