A knowledge-based system for overall supply chain performance evaluation: a multi-criteria decision making approach

2019 ◽  
Vol 24 (3) ◽  
pp. 377-396 ◽  
Author(s):  
Sharfuddin Ahmed Khan ◽  
Amin Chaabane ◽  
Fikri Dweiri
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Decision Makers ◽  
Supply Chain Performance ◽  
Decision Criteria ◽  
Short Term ◽  
Content Type ◽  
Knowledge Based System ◽  
Knowledge Based

Purpose Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance. Design/methodology/approach The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance criteria (short-term and long-term) for accurate and integrated Overall SC performance evaluation. Findings The proposed KBS evaluates the overall SC performance, establishes a relationship between decisions (long-term and short-term) and decision criteria of SC functions and provides decision makers with a view of the impact of their short-term or long-term decisions on overall SC performance. The proposed system was implemented in a case company where the authors were able to develop a SC performance monitoring dashboard for the company’s top managers and operational managers. Practical implications The proposed KBS assists organisations and decision makers in evaluating their overall SC performance and helps in identifying underperforming SC functions and their associated criteria. It may also be considered as a tool for benchmarking SC performance against competitors. It can efficiently point to improvement directions and help decision makers improve overall SC performance. Originality/value The proposed KBS provides a holistic and integrated approach, establishes a relationship between decisions and decision criteria and evaluates overall SC performance, which is one of the main limitations in existing supply chain performance measurement systems.

Designing a knowledge-based system (KBS) to study consumer purchase intention: the impact of digital influencers in Pakistan

Kybernetes ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sherbaz Khan ◽  
Aamir Rashid ◽  
Rizwana Rasheed ◽  
Noor Aina Amirah
Keyword(s):  
Purchase Intention ◽  
Fuzzy Ahp ◽  
Purchase Intentions ◽  
Decision Makers ◽  
Decision Criteria ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
The Impact

PurposeThe purpose of this study is to present a complete framework that defines the link between choices and decision criteria based on existing research on digital influencers (DIs) connected to consumer purchase intentions. The primary goal of this article is to assess the effect of DIs on customer purchase intentions via the creation of an integrated knowledge-based system (KBS).Design/methodology/approachThe suggested KBS is based on the fuzzy analytic hierarchy process (AHP), which creates a link between DI elements and their overall effect on consumer purchase intentions.Findings With the help of a KBS, the performance of DIs may be evaluated. It demonstrates the link between choices connected to factors and decision criteria of various variables, demonstrating the beneficial effect of DIs in molding customer purchase intentions in the organic skincare industry.Practical implicationsThe proposed KBS would aid marketing managers and decision makers in assessing the effect of DIs on customer purchase intentions. This research would also give decision makers with extensive information on influencer marketing and crucial elements that have a significant effect on customer purchase intentions.Originality/valueThis is the first research to employ the fuzzy AHP methodology and KBS in relation to influencers' effect. No prior research has targeted the organic skincare industry to assess the effect of Internet influencers on consumer purchase intentions. Furthermore, the KBS offers a holistic and complete way to studying influencers' effect on cost per impression (CPI) by establishing a linkage between choices and decision criteria.

Lean supply chain performance measurement

2014 ◽  
Vol 63 (5) ◽  
pp. 588-612 ◽  
Author(s):  
Kazi Arif-Uz-Zaman ◽  
A.M.M. Nazmul Ahsan
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Supply Chains ◽  
Evaluation Method ◽  
Performance Metrics ◽  
Supply Chain Performance ◽  
Competitive Strategies ◽  
Content Type ◽  
Performance Evaluation Method ◽  
Lean Supply Chain

Purpose – The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain. Design/methodology/approach – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations. Findings – Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies. Research limitations/implications – The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low-price products. Practical implications – By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly. Originality/value – This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.

Two-way assessment of key performance indicators to vaccine supply chain system in India

2019 ◽  
Vol 68 (1) ◽  
pp. 194-230 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Supply Chain ◽  
Performance Improvement ◽  
Performance Indicators ◽  
Immunization Coverage ◽  
Decision Makers ◽  
Supply Chain Performance ◽  
Child Immunization ◽  
Content Type ◽  
Internal Process ◽  
Delivery Performance

PurposeThe purpose of this paper is to identify the key performance indicators (KPIs) of vaccine supply chain of Universal Immunization Program (UIP) India, and measure their impact on vaccine supply chain performance improvement, so that results of this study can help the decision makers manage the activity and effectiveness of their resources in order to improve vaccine delivery performance and child immunization coverage.Design/methodology/approachThe 41 KPIs in terms of four dimension of the balanced scorecard (BSC), i.e. financial, customer, internal process and learning and growth have been identified and validated from the literature and expert’s opinions. Further, the impact of internal process and learning and growth performance indicators on the vaccine supply chain performance improvement have been evaluated using two-way assessment. The rankings obtained using two-way assessment are then compared to DEMATEL approach to validate the results.FindingsThe results from the analysis reveal that “Enhancement in employee work satisfaction” (LG3=10.08 percent), “Enhancement in professional vaccine supply chain managers and leaders” (LG2 = 6.70 percent) “Improvement in planning and coordination in the supply chain” (LG9 = 6.57 percent) are the three critical performance indicators having maximum impact on vaccine supply chain performance improvement. The decision makers should give priority to these performance indicators to improve delivery performance and immunization coverage.Social implicationsThis study focuses on the improvement in vaccine delivery performance, therefore, analysis and findings can be useful to government immunization programs of India to other developing nations to improve child immunization coverage.Originality/valueTo our knowledge, this paper is first to attempt to provide a direction to improve immunization coverage through vaccine supply chain performance indicators.

scholarly journals Characterizing agile supply partnerships in the fashion industry

2016 ◽  
Vol 36 (8) ◽  
pp. 923-947 ◽  
Author(s):  
Corrado Cerruti ◽  
Carlos Mena ◽  
Heather Skipworth ◽  
Ernesto Tavoletti
Keyword(s):  
Decision Makers ◽  
Exploratory Research ◽  
Fashion Industry ◽  
Strategic Partnerships ◽  
Short Term ◽  
Organizational Relationships ◽  
Apparent Paradox ◽  
Content Type ◽  
High Turbulence

Purpose – The purpose of this paper is to investigate high-involvement and short-term supply relationships, known as agile supply partnerships (ASPs), and explores the conditions that support the development of such inter-organizational relationships. Design/methodology/approach – A qualitative exploratory research design was followed, based on in-depth case studies of Italian fashion footwear manufacturers and their relationships with key suppliers. Findings – ASPs appear to be most relevant in supply material categories which have a high impact on the appearance or functionality of the product. Conversely, in supply categories with a low impact, long-term partnerships are preferred. Four main characteristics of ASPs are identified: they are part of a portfolio of relationships to balance the rigidities of long-term strategic partnerships; they have project-like features; they are developed from a network of pre-qualified suppliers; they are recurring and intermittent rather than continuous or isolated one-off short-term partnerships. Research limitations/implications – The research has been carried out in the context of an Italian footwear district. Further research is required to evaluate the validity of the propositions in other sectors and geographies. Practical implications – The research can help decision makers in the fashion industry, and potentially other sectors affected by high turbulence, to identify when ASPs are most appropriate and what characteristics they should have. Originality/value – This research contributes to the literature on agility by empirically evaluating the apparent paradox related to the specific characteristics of supply relationships required to foster an agile strategy and by clarifying the conditions under which fashion companies develop ASPs.

Appraisement and benchmarking of supply chain performance extent

2015 ◽  
Vol 5 (1) ◽  
pp. 2-30 ◽  
Author(s):  
Santosh Kumar Sahu ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Numbers ◽  
Decision Makers ◽  
Supply Chain Performance ◽  
Triangular Fuzzy Numbers ◽  
Subjective Judgment ◽  
Content Type ◽  
Grey Relation ◽  
Evaluation Information

Purpose – Supply chain performance (SCP) extent can be attributed as a function of multiple criteria/attributes. Most of the criterions/attributes being intangible in nature; SCP appraisement relies on the subjective judgment of the decision makers. Moreover, quantitative appraisement of SCP appears to be very difficult due to involvement of ill-defined (vague) performance measures as well as metrics. The purpose of this paper is to develop an efficient decision support system (DSS) to facilitate SCP appraisement, benchmarking and related decision making. Design/methodology/approach – This study explores the concept of fuzzy logic in order to tackle incomplete and inconsistent subjective judgment of the decision makers’ whilst evaluating supply chain’s overall performance. Grey relational analysis has been adopted in the later stage to derive appropriate ranking of alternative companies/enterprises (in the same industry) in view of ongoing SCP extent. Findings – In this work, a performance appraisement index system has been postulated to gather evaluation information (weights and ratings) in relation to SCP measures and metrics. Combining the concepts of fuzzy set theory, entropy, ideal and grey relation analysis, a fuzzy grey relation method for SCP benchmarking problem has been presented. First, triangular fuzzy numbers and linguistic evaluation information characterized by triangular fuzzy numbers have been used to evaluate the importance weights of all criteria and the superiority of all alternatives vs various criteria above the alternative level. Then, the concept of entropy has been utilized to solve the adjusted integration weight of all objective criteria above the alternative level. Moreover, using the concept of the grey ration grades, various alternatives have been ranked accordingly. Originality/value – Finally, an empirical example of selecting most appropriate company has been used to demonstrate the ease of applicability of the aforesaid approach. The study results showed that this method appears to be an effective means for tackling multi-criteria decision-making problems in uncertain environments. Empirical data have been analysed and results obtained thereof, have been reported to exhibit application potential of the said fuzzy grey relation based DSS in appropriate situation.

Configuration of supply chain integration and delivery performance

2016 ◽  
Vol 11 (1) ◽  
pp. 43-74 ◽  
Author(s):  
Premaratne Samaranayake ◽  
Tritos Laosirihongthong
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Performance Measures ◽  
Supply Chain Performance ◽  
Chain Model ◽  
Content Type ◽  
Delivery Performance ◽  
Supply Chain Model ◽  
Evaluation And Monitoring ◽  
Integrated Supply Chain

Purpose – The purpose of this paper is to develop a conceptual framework of integrated supply chain model that can be used to measure, evaluate and monitor operational performance under dynamic and uncertain conditions. Design/methodology/approach – The research methodology consists of two stages: configuration of a conceptual framework of integrated supply chain model linked with performance measures and illustration of the integrated supply chain model and delivery performance using a case of dairy industry. The integrated supply chain model is based on a unitary structuring technique and forms the basis for measuring and evaluating supply chain performance. Delivery performance with variation of demand (forecast and actual) is monitored using a fuzzy-based decision support system, based on three inputs: capacity utilization (influenced by production disruption), raw materials shortage and quality of dairy products. Findings – Integration of supply chain components (materials, resources, operations, activities, suppliers, etc.) of key processes using unitary structuring approach enables information integration in real time for performance evaluation and monitoring in complex supply chain situations. In addition, real-time performance monitoring is recognized as being of great importance for supply chain management in responding to uncertainties inherent in the operational environment. Research limitations/implications – Implementation of an integrated model requires maintenance of supply chain components with all necessary data and information in a system environment such as enterprise resource planning. Practical implications – The integrated model provides decision-makers with an overall view of supply chain components and direct links that need to be maintained for supply chain performance evaluation and monitoring. Wider adaptation and diffusion of the proposed model require further validation of the model and feasibility of implementation, using real-time data and information on selected performance measures. Originality/value – Integration of supply chain components across supply chain processes directly linked with performance measures is a novel approach for effective supply chain performance evaluation and monitoring in complex supply chains under dynamic and uncertain conditions.

An MCDA-C application to evaluate supply chain performance

2014 ◽  
Vol 44 (7) ◽  
pp. 597-616 ◽  
Author(s):  
Emílio Della Bruna Jr ◽  
Leonardo Ensslin ◽  
Sandra Rolim Ensslin
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Decision Maker ◽  
Decision Aid ◽  
Multicriteria Decision Aid ◽  
Supply Chain Performance ◽  
Content Type ◽  
Multicriteria Decision ◽  
Advanced Planning

Purpose – The purpose of this paper is to develop a performance evaluation model for the operations of the supply chain of an organization of the refrigeration equipment sector. The tool must aid the decision maker in the performance improvement and creation of competitive advantages. Design/methodology/approach – The study adopts a mixture of qualitative and quantitative approaches and applies them through a case study. The data collection was conducted through unstructured interviews and supplemented by documentary research. The applied intervention instrument is the Multicriteria Decision Aid – Constructivist (MCDA-C). Findings – Identification, organization, ordinal and cardinal measurement and integration of the aspects of the context judged as relevant by the decision maker. In addition, it can be highlighted the current situation diagnosis and elaboration of improvement actions related to lean philosophy and advanced planning systems. Practical implications – The developed model is being used to aid the decision maker in their decisions concerning the improvement of the supply chain operations. Originality/value – The main contributions made by the paper resides in the proposal of solutions for fulfiling gaps identified within the supply chain performance evaluation area and in the application of the MCDA-C to a practical case. Keywords Performance, Supply chain, Multicriteria, Decision, MCDA-C Paper type Case study Resumen Objetivo Objetivo – El objetivo de este artículo es desarrollar un Modelo de Desempeño para las operaciones de cadena de suministro de una organización en el sector de equipos de refrigeración. La herramienta debe ayudar a quién toma las decisiones en mejorar el desempeño y crear ventajas competitivas. Diseño/metodología/enfoque – El estudio usa una combinación de enfoques cualitativos y cuantitativos aplicándolos a un caso estudio. La recolección de datos se hizo a través de entrevistas no estructuradas y se complementó con investigación documental. El instrumento de intervención usado es el Multicriterio De Apoyo a la Decisión-Constructivista (MCDA-C). Hallazgos – Identificación, organización, mediciones ordinales y cardinales e integración de los aspectos de los contextos considerados como relevantes por el tomador de decisiones. Se puede destacar además la situación actual de diagnóstico y la elaboración de acciones de mejoramiento relacionados con la filosofía Lean y los Sistemas avanzados de planificación. Implicaciones prácticas – El modelo desarrollado esta siendo usado para ayudar al toma decisiones en las decisiones concernientes con el mejoramiento de las operaciones de la cadena de suministro. Originalidad/valor – La mayor contribución hecha por este artículo reside en proponer soluciones para cubrir brechas identificadas dentro el área de Evaluación de Rendimiento en la Cadena de Suministro y en la aplicación del MCDA-C a un caso práctico. Palabras Claves Desempeño, Cadena de Suministro, Decisión, Multicriterio, MCDA-C Tipo de papel estudio de caso Resumo Objetivo Objetivo – O objetivo de este artigo é desenvolver um Modelo de Avaliação Desempenho para as operações da cadeia de suprimentos de uma organização do setor de equipamentos de refrigeração. O modelo proposto deve ajudar o tomador de decisões a melhorar o desempenho e criar vantagens competitivas. Desenho/metodologia/enfoque – O estudo faz uso de uma abordagem qualitativa e quantitativa aplicada em um Estudo de Caso. A coleta dos dados foi feita por meio de entrevistas abertas, sendo complementada por pesquisa documental. O instrumento de intervenção usado é o Multicriteria Decision Aid – Constructivist (MCDA-C). Achados – Identificação, organização, medições ordinais e cardinais, e integração dos aspectos do contexto são considerados como relevantes para o tomador de decisões. Além disso, destacam-se o diagnóstico da situação atual e a elaboração de ações de aperfeiçoamento, nas quais se avaliam os efeitos da implementação da Filosofia Enxuta e de um Sistema de Planejamento Avançado na organização. Implicações práticas – O modelo desenvolvido auxilia o tomador de decisões nas decisões concernentes ao melhoramento das operações da cadeia de suprimentos. Originalidade/valor – As principais contribuições do artigo residem na proposição de melhorias em lacunas ainda presentes na avaliação do desempenho da cadeia de suprimentos e também na aplicação da MCDA-C em um caso prático. Palavras-Chave Desempenho, Cadeia de Suprimentos, MCDA-C, Decisão, Multicritério Tipo de papel estudo de caso

Assessing supply chain risk for apparel production in low cost countries using newsfeed analysis

2020 ◽  
Vol 25 (6) ◽  
pp. 803-821 ◽  
Author(s):  
Robert Handfield ◽  
Hang Sun ◽  
Lori Rothenberg
Keyword(s):  
Supply Chain ◽  
Low Cost ◽  
Developed Countries ◽  
Unstructured Data ◽  
Risk Scores ◽  
Supply Chain Risk ◽  
Short Term ◽  
Workplace Issues ◽  
Content Type

Purpose With the growth of unstructured data, opportunities to generate insights into supply chain risks in low cost countries (LCCs) are emerging. Sourcing risk has primarily focused on short-term mitigation. This paper aims to offer an approach that uses newsfeed data to assess regional supply base risk in LCC’s for the apparel sector, which managers can use to plan for future risk on a long-term planning horizon. Design/methodology/approach This paper demonstrates that the bulk of supplier risk assessments focus on short-term responses to disruptions in developed countries, revealing a gap in assessments of long-term risks for supply base expansion in LCCs. This paper develops an approach for predicting and planning for long-term supply base risk in LCC’s to address this shortfall. A machine-based learning algorithm is developed that uses the analysis of competing hypotheses heuristic to convert data from multiple news feeds into numerical risk scores and visual maps of supply chain risk. This paper demonstrates the approach by converting large amounts of unstructured data into two measures, risk impact and risk probability, leading to visualization of country-level supply base risks for a global apparel company. Findings This paper produced probability and impact scores for 23 distinct supply base risks across 10 countries in the apparel sector. The results suggest that the most significant long-term risks of supply disruption for apparel in LCC’s are human resource regulatory risks, workplace issues, inflation costs, safety violations and social welfare violations. The results suggest that apparel brands seeking suppliers in the regions of Cambodia, India, Bangladesh, Brazil and Vietnam should be aware of the significant risks in these regions that may require mitigative action. Originality/value This approach establishes a novel approach for objectively projecting future global sourcing risk, and yields visually mapped outcomes that can be applied in forecasting and planning for future risks when considering sourcing locations in LCC’s.

From cultural intelligence to supply chain performance

2016 ◽  
Vol 27 (1) ◽  
pp. 95-121 ◽  
Author(s):  
Luu Trong Tuan
Keyword(s):  
Supply Chain ◽  
Cultural Intelligence ◽  
Supply Chain Performance ◽  
Research Model ◽  
Cross Sectional ◽  
Content Type ◽  
Four Dimensions ◽  
Knowledge Based ◽  
Corporate Social

Purpose – Cultural intelligence (CQ) has transcended its role of adaptation to local values toward narrowing the cultural gap between foreign stakeholders and local stakeholders in the supply chain. The purpose of this paper is to decipher the catalyzing role of CQ in its chain effect, through corporate social responsibility and trust, to supply chain performance and competitive intelligence (CI). Design/methodology/approach – The proof for the research model was derived from the SEM-based analysis of cross-sectional data provided by 392 respondents from MNCs in Vietnamese business landscape. Findings – Findings, from this inquiry, produce the evidence for the positive effect of all four dimensions of CQ (metacognitive, cognitive, motivational, and behavioral CQ) on ethical and legal CSR, as well as knowledge-based and identity-based trust, which leverage supply chain performance. The connectivity between supply chain performance and CI was also established. Originality/value – Supply chain literature, from this research model, has increased its breadth with the novel role of CQ and stakeholder-oriented levers such as CSR in heightening supply chain performance.

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