Evaluating the key performance indicators for supply chain information system implementation using IPA model

2018 ◽  
Vol 25 (6) ◽  
pp. 1844-1863 ◽  
Author(s):  
Kunal Ganguly ◽  
Siddharth Shankar Rai
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Performance Indicators ◽  
Fuzzy Ahp ◽  
Key Performance Indicators ◽  
Extensive Literature ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Ahp Model ◽  
Novel Approach

Purpose To enhance the transparency of the supply chain and ensure proper dissemination of information among the supply chain members in a timely manner, more and more companies are implementing supply chain information system (SCIS). Often the challenge among the organizations is how to go for a proper SCIS implementation and to identify the key performance indicators (KPIs) to evaluate the SCIS. The purpose of this paper is to provide a framework to evaluate the KPIs for SCIS of SCISs implementation from user’s perspectives. Design/methodology/approach In this paper, 16 KPIs were identified based on extensive literature survey. A fuzzy analytic hierarchy process (AHP) model is constructed to measure the users’ perceived importance and satisfaction for the KPIs. Subsequently, based on these two measurements, an importance-performance analysis (IPA) model along with a customer satisfaction attitude (SA) index is developed to categorize and prioritize the KPIs. As an empirical study, SCIS users across five industries belonging to different sectors were investigated to validate the model. Findings An IPA model along with a customer SA index is developed based on a fuzzy AHP model to evaluate the KPIs and provide the priorities of their improvement. Based on this result, some management implications and suggestions are proposed. Research limitations/implications The study was limited to five organizations. More representative samples which can be sector specific can ensure better confirmation of the empirical results. Originality/value The KPIs identified in the research indicate the nature and dynamics of a complex SCIS implementation. It can serve as a checklist of areas that require attention when implementing a SCIS. The KPIs are presented through grouping in a systemic way. The development of the SAs in IPA model using fuzzy AHP is a novel approach.

Establishing link between quality management and supply chain risk management

2019 ◽  
Vol 32 (5) ◽  
pp. 1039-1057
Author(s):  
Kunal Ganguly
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Performance Measures ◽  
Fuzzy Ahp ◽  
Supply Chain Risk Management ◽  
Risk Matrix ◽  
Supply Chain Risk ◽  
Content Type ◽  
Novel Approach ◽  
Continuous Scale

Purpose The purpose of this paper is to present a comprehensive framework for quality-related performance measures linked to supply chain risk (SCR) by analyzing and framing them into a hierarchical structure. Design/methodology/approach In this paper, quality-related performance measures (QM) are identified on the basis of literature survey and expert opinion. The quality measures are formulated as hierarchy structure and fuzzy AHP as a multi attribute decision-making tool is applied to judge the viable candidates. Findings Based on a fuzzy AHP approach, a revised risk matrix with a continuous scale was proposed to assess the QMs’ classes. The result classifies the QMs in different categories (extreme, high, medium and low). Based on this result, some management implications and suggestions are proposed. Originality/value The present work proposes an assessment methodology for quality-related performance measures linked to SCR. The revised risk matrix with continuous scale for risk assessment in this field is a novel approach. This study contributes to the supply chain management and quality management literature, and provides suggestions for managers to adopt different strategies for different risk classes.

scholarly journals Measurement challenges of supply chain performance in complex shipping environments

2018 ◽  
Vol 3 (4) ◽  
pp. 431-448 ◽  
Author(s):  
Photis Panayides ◽  
Odd Jarl Borch ◽  
Anastasiya Henk
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Oil And Gas ◽  
Service Providers ◽  
Key Performance Indicators ◽  
Operational Environment ◽  
Long Distance ◽  
Content Type ◽  
Logistics Service ◽  
Context Specific

Purpose Logistics service performance measurement (PM) is a fundamental activity pertaining to the achievement of logistics goals and the improvement of services. The choice of logistics PM criteria depends on stakeholder goals and expectations, including logistics service providers, customers and government and regulatory institutions. PM is especially challenging in areas where high values are at stake, several actors are involved and uncertainty about cause-and-effect relations is high. This paper aims to examine the measurement of performance in offshore oil and gas logistics, which has unique characteristics such as a supply chain (SC) exposed to a harsh environment, the presence of several independent carriers and a highly specialised and costly set of vessels involved in long-distance transport legs. Design/methodology/approach The study is designed as a multiple case study of two Norwegian shipping companies and two international oil and gas companies. Data were collected from several parts of the offshore service SC in several Arctic oil and gas fields. Findings This paper sheds light on the performance of the SC and presents key performance indicators for logistics operations. It concludes that the measurement of SC performance must be context-specific and emphasis needs to be placed on the degree of uncertainty and inter-dependency related to the SC in question. Originality/value The study suggests a list of context-specific key performance indicators for offshore logistics with a special emphasis on the peculiarities of a harsh operational environment.

Prioritization of drivers, enablers and resistors of agri-logistics in an emerging economy using fuzzy AHP

2018 ◽  
Vol 120 (9) ◽  
pp. 2166-2181
Author(s):  
Meenakshi Jakhar ◽  
Manoj Kumar Srivastava
Keyword(s):  
Distribution System ◽  
Fuzzy Ahp ◽  
Emerging Economy ◽  
Food Distribution ◽  
Extensive Literature ◽  
Unique Contribution ◽  
Structured Interviews ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fresh Perspective

Purpose The purpose of this paper is to identify and prioritize the drivers, enablers and resistors of agri-logistics improvements in an emerging economy like India. The field of agri-logistics lies at the critical intersection of the agricultural and logistics sectors and is capable of ameliorating the state of food distribution in the country. The inefficiencies inherent in the food distribution system in India lead to massive post-harvest wastage that is estimated at around 13bn dollars per annum. This paper examines the improvement drivers, enablers and resistors of agri-logistics that can significantly contribute toward the enhancement of the agricultural supply chain. Design/methodology/approach The synthesis and prioritization of drivers, enablers and resistors was based on an extensive literature review and consultation with experts. With the help of semi-structured interviews and a fuzzy analytic hierarchy process approach, the research develops a drivers-enablers-resitors framework. Findings The outcome is a hierarchy-based framework that prioritizes the drivers, enablers and resistors of agri-logistics. The research reveals the critical areas where decision makers should channelize their resources and efforts to gain maximum benefits. Originality/value The segmentation of the factors impacting agri-logistics into drivers, enablers and resistors provides a fresh perspective on the issue and helps improve understanding of the problem. Prioritization of the factors represents a unique contribution to the field of agri-logistics.

scholarly journals Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yvonne Badulescu ◽  
Ari-Pekka Hameri ◽  
Naoufel Cheikhrouhou
Keyword(s):  
Selection Process ◽  
Fuzzy Ahp ◽  
Partner Selection ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Solution Approach ◽  
Novel Approach ◽  
Force Majeure ◽  
The Face ◽  
Selection For

Purpose Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk. Design/methodology/approach A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection. Findings It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period. Research limitations/implications The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19. Originality/value This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

Analyzing the Risks in Supply Chain Information System Implementations

2018 ◽  
Vol 31 (2) ◽  
pp. 1-23
Author(s):  
Kunal Ganguly ◽  
R. K. Padhy
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Supply Chain ◽  
Fuzzy Ahp ◽  
Extensive Literature ◽  
Risk Matrix ◽  
Novel Approach ◽  
Continuous Scale ◽  
Multi Attribute Decision Making ◽  
Comprehensive Framework

Organizations make considerable efforts when implementing Supply Chain Information systems (SCIS) to increase their competitiveness. This chapter attempts to identify the Risk Factors (RFs) in SCIS implementation and evaluate them. Sixteen risk factors were identified based on an extensive literature survey. A comprehensive framework is presented with three major phases to select an adequate SCIS. The risk assessment for SCIS implementation is then empirically investigated. The RFs are formulated as hierarchy structures and Fuzzy AHPs as a Multi Attribute Decision Making (MADM) tool applied to judge the viable candidates. Based on a fuzzy AHP approach, a revised risk matrix with a continuous scale is proposed to assess the RFs' classes. The result classifies the risk factors in different categories (Extreme, High, Medium and Low). The revised risk matrix with continuous scale for risk assessment in SCIS implementation is a novel approach.

Information technology barriers in Indian sugar supply chain: an AHP and fuzzy AHP approach

2018 ◽  
Vol 25 (7) ◽  
pp. 1978-1991 ◽  
Author(s):  
Rupesh Kumar ◽  
Surendra Kansara
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Sugar Industry ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Supply Chain System ◽  
Content Type ◽  
Potential Barriers ◽  
Chain System ◽  
It Applications

Purpose The purpose of this paper is to find out possible barriers of information technology (IT) applications in the supply chain system of sugar industry in India. All these barriers have their strategic importance for serving the supply chain partners in better way and also help in improving the Indian agrarian economy. The study is a blend of theoretical and practical frameworks, which would focus on those key factors or IT barriers leading to implementation of IT in the sugar supply chain. Design/methodology/approach The paper is based on theoretical exploration of potential barriers IT applications in the supply chain system of sugar industry in India and prioritizing these barriers by employing multi-criteria decision-making approach. Findings The findings of this paper are identification of barriers of IT applications in the supply chain system of sugar industry in India, and ranking of these barriers in terms of its severity. Research limitations/implications Potential barriers of IT applications in the supply chain system of sugar industry in India considered in to the study are 11 in total. There can be more barriers of IT applications in the supply chain system. Originality/value This study reveals the application of analytic hierarchy process (AHP) and fuzzy AHP to Indian sugar industry for prioritizing the IT barriers which influence the sugar supply chain.

A fuzzy AHP approach for inbound supply risk assessment

2013 ◽  
Vol 20 (1) ◽  
pp. 129-146 ◽  
Author(s):  
Kunal K. Ganguly ◽  
Kalyan K. Guin
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Customer Value ◽  
Assessment Tool ◽  
Fuzzy Ahp ◽  
Product Category ◽  
Supply Risk ◽  
Analytic Hierarchy ◽  
Suggested Approach ◽  
Content Type

PurposeThe purpose of this paper is to provide a methodology for assessing supply risk for a product category. The fuzzy based analytic hierarchy process (Fuzzy AHP) has been used for the purpose. The technique is used to determine the supply related risk and its potential impact on the buyer organization.Design/methodology/approachThe research uses case analysis approach to understand the supply related risks and then applying fuzzy AHP for prioritization of the same.FindingsThe result of the case example indicates that the suggested approach of fuzzy AHP methodology seems feasible for risk assessment in supply chain management as it allows the personnel to express their judgments regarding the importance of each type of risk elements and evaluate the situation from their own perspective and then have this input coordinated in a quantitative fashion.Practical implicationsSupply chain managers can use this research as a base for developing risk assessment tool. The result can help as a benchmarking tool for the supply management professionals. By having a better understanding of which element has the greatest effect on risk, they can focus their attention on reducing the chance that risk can have on their organizations success and profitability.Originality/valueThis paper provides practitioners with a methodology for analyzing supply side risk as an objective of creating customer value by delivering perfect order.

Analyzing the Risks in Supply Chain Information System Implementations

2020 ◽  
pp. 1741-1765
Author(s):  
Kunal Ganguly ◽  
R. K. Padhy
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Supply Chain ◽  
Fuzzy Ahp ◽  
Extensive Literature ◽  
Risk Matrix ◽  
Novel Approach ◽  
Continuous Scale ◽  
Multi Attribute Decision Making ◽  
Comprehensive Framework

Organizations make considerable efforts when implementing Supply Chain Information systems (SCIS) to increase their competitiveness. This chapter attempts to identify the Risk Factors (RFs) in SCIS implementation and evaluate them. Sixteen risk factors were identified based on an extensive literature survey. A comprehensive framework is presented with three major phases to select an adequate SCIS. The risk assessment for SCIS implementation is then empirically investigated. The RFs are formulated as hierarchy structures and Fuzzy AHPs as a Multi Attribute Decision Making (MADM) tool applied to judge the viable candidates. Based on a fuzzy AHP approach, a revised risk matrix with a continuous scale is proposed to assess the RFs' classes. The result classifies the risk factors in different categories (Extreme, High, Medium and Low). The revised risk matrix with continuous scale for risk assessment in SCIS implementation is a novel approach.

Conception of circular economy obstacles in context of supply chain: a case of rubber industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Somesh Agarwal ◽  
Mohit Tyagi ◽  
R.K. Garg
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Environmental Sustainability ◽  
Circular Economy ◽  
Hybrid Approach ◽  
Extensive Literature ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Electre Method ◽  
Hierarchy Process

PurposeAdopting the circular economy (CE) notion in the supply chain perspective is necessary for the sustainability viewpoint. However, such practices are deficient, especially in developing countries like India, because of several obstacles. The purpose of this study was to create an approach for circular supply chain management (CSCM) adaption in Indian rubber industries by identifying and evaluating its associated obstacles.Design/methodology/approachA hybrid approach of analytic hierarchy process (AHP) and the grey-based ELECTRE method had been employed in this research to obtain the mutual rankings of the identified obstacles based on their impressions on the CSCM prosperity criteria through a case study and involving diverse expert's opinions.FindingsPresented study's findings illustrate that “Lack of consumer knowledge and consciousness towards environmental sustainability” was found to be the top-ranked obstacle followed by “Unwillingness towards supply chain re-structuring”.Research limitations/implicationsThe obstacles' prioritized rankings could help leaders to create sequential strategies for adapting a resilient CSCM structure by systematically eliminating these obstacles. Moreover, the pinpointed critical obstacles could be investigated further in separate studies and generate future studies' scope.Originality/valueDuring the extensive literature survey, it had been found that the CSCM practices are in the fledgling stage in the developing country's context. Moreover, studies related to CSCM adaption in rubber-based manufacturing industries were much lacking. Presented work is peculiar, aiming to accelerate the CSCM adaption in the industrial rubber sector in developing countries like India.

Food waste treatment option selection through spherical fuzzy AHP

2021 ◽  
pp. 1-11
Author(s):  
Aysu Melis Buyuk ◽  
Gul T. Temur
Keyword(s):  
Treatment Option ◽  
Food Waste ◽  
Waste Treatment ◽  
Fuzzy Ahp ◽  
Treatment Options ◽  
Analytic Hierarchy ◽  
Food Treatment ◽  
Novel Approach ◽  
Proposed Model ◽  
Option Selection

In line with the increase in consciousness on sustainability in today’s global world, great emphasis has been attached to food waste management. Food waste is a complex issue to manage due to uncertainties on quality, quantity, location, and time of wastes, and it involves different decisions at many stages from seed to post-consumption. These ambiguities re-quire that some decisions should be handled in a linguistic and ambiguous environment. That forces researchers to benefit from fuzzy sets mostly utilized to deal with subjectivity that causes uncertainty. In this study, as a novel approach, the spherical fuzzy analytic hierarchy process (SFAHP) was used to select the best food treatment option. In the model, four main criteria (infrastructural, governmental, economic, and environmental) and their thirteen sub-criteria are considered. A real case is conducted to show how the proposed model can be used to assess four food waste treatment options (composting, anaerobic digestion, landfilling, and incineration). Also, a sensitivity analysis is generated to check whether the evaluations on the main criteria can change the results or not. The proposed model aims to create a subsidiary tool for decision makers in relevant companies and institutions.

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