Template-Type: ReDIF-Article 1.0 Author-Name: Airton M. Silva Author-X-Name-First: Airton M. Author-X-Name-Last: Silva Author-Name: Claudemir L. Tramarico Author-X-Name-First: Claudemir L. Author-X-Name-Last: Tramarico Title: Multi-criteria analysis of big data and big data analytics on supply chain management Abstract: This article proposes a procedure evaluating the implementation of big data and big data analytics in supply chain management through critical success factors. With the current use of big data and big data analytics technologies, structured or non-structured data have become more important in decision-making, making the process more efficient. In addition to highlighting the main critical success factors encountered in the literature, the authors developed a classification of factors using the benefits, opportunities, costs, and risks model (BOCR). In this study, the analytic hierarchy process (AHP), a multi-criteria analysis method, is applied by considering BOCR model as the main criteria in the evaluation, and big data and big data analytics as the two main alternatives. The main contributions of this work are an identification of the main critical success factors through research found in the available literature and the proposal of a procedure for evaluating the best alternative to implementing data technology in supply chain management. The proposed approach was used to evaluate the BOCR through the real implementation of data technology. Journal: Int. J. of Integrated Supply Management Pages: 280-303 Issue: 3 Volume: 15 Year: 2022 Keywords: analytic hierarchy process; AHP; big data; big data analytics; critical success factors; supply chain management. File-URL: http://www.inderscience.com/link.php?id=124420 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:3:p:280-303 Template-Type: ReDIF-Article 1.0 Author-Name: W. Widowati Author-X-Name-First: W. Author-X-Name-Last: Widowati Author-Name: S. Sutrisno Author-X-Name-First: S. Author-X-Name-Last: Sutrisno Author-Name: Redemtus Heru Tjahjana Author-X-Name-First: Redemtus Heru Author-X-Name-Last: Tjahjana Title: A decision-making tool for integrated order allocation planning and warehouse systems in an incomplete information environment Abstract: Order allocation planning and inventory management are significant challenges faced when deciding the number of raw materials to purchase from alternative suppliers and store in warehouses for minimal total operational cost. This problem is attributed to incomplete information that makes decision making difficult. Therefore, this study aimed to define problems in an incomplete information environment using fuzzy and probabilistic parameters. Generally, the decision-maker has the data to build their probability distribution functions in probabilistic parameters. However, the available data do not represent the parameters anymore in fuzzy. The parameters include future raw material price, transport cost, and defect rate in manufacturing industries due to fluctuations over time. This study proposed a mathematical optimisation that uses an uncertain linear programming algorithm to calculate the optimal decision. A numerical experiment was performed to illustrate how the problem is solved. The results showed that the proposed model succeeded in determining the optimal decision. Journal: Int. J. of Integrated Supply Management Pages: 329-348 Issue: 3 Volume: 15 Year: 2022 Keywords: fuzzy uncertainty; integrated supply chain; inventory management; probabilistic parameter; uncertain programming. File-URL: http://www.inderscience.com/link.php?id=124436 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:3:p:329-348 Template-Type: ReDIF-Article 1.0 Author-Name: Matthias M. Meyer Author-X-Name-First: Matthias M. Author-X-Name-Last: Meyer Author-Name: Andreas H. Glas Author-X-Name-First: Andreas H. Author-X-Name-Last: Glas Author-Name: Michael Eßig Author-X-Name-First: Michael Author-X-Name-Last: Eßig Title: Using additive manufacturing in supply chains: a simulation-based analysis of supply resilience Abstract: The vulnerability of supply chains is more evident during crises. Recently, the COVID-19 pandemic, container ship blockades, and marine traffic jams in the Suez Canal have caused severe supply disruptions. Additive manufacturing (AM) often referred to as 3D printing, at demand sites, can solve supply disruptions. This study investigates how AM in different configurations affects supply availability. To this end, we simulate a healthcare supply chain. The simulation considers daily business demand and operational and disruptive supply risks. We measure demand, orders, stock levels, and availability indicators and compare them across supply configurations. The simulation allows identifying the most effective resilience configuration related to the cost-per-availability ratio. Overall, simulations support using AM as a risk-mitigation strategy. Journal: Int. J. of Integrated Supply Management Pages: 304-328 Issue: 3 Volume: 15 Year: 2022 Keywords: additive manufacturing; resilience; sourcing; supply risk; hedging strategy; backup supplier. File-URL: http://www.inderscience.com/link.php?id=124438 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:3:p:304-328 Template-Type: ReDIF-Article 1.0 Author-Name: Nazir Imran Author-X-Name-First: Nazir Author-X-Name-Last: Imran Author-Name: Muhammad Shujaat Mubarik Author-X-Name-First: Muhammad Shujaat Author-X-Name-Last: Mubarik Author-Name: Navaz Naghavi Author-X-Name-First: Navaz Author-X-Name-Last: Naghavi Author-Name: Sharfuddin Ahmed Khan Author-X-Name-First: Sharfuddin Ahmed Author-X-Name-Last: Khan Title: An application of multi-criteria data management approach for prioritisation of unwarranted causes of delay in international shipments Abstract: This study aims to identify, validate, and prioritise the causes of delayed clearance of imported cargo at the seaport with a viewpoint to recommend appropriate policy measures for the refining clearance process. The study adopted a three-fold approach for attaining the objectives. First, a comprehensive literature review was conducted to identify the causes of the delayed customs clearance. Second, the experts were interviewed to validate the identified causes in the context of Pakistan. Third, the study adopted the analytical hierarchical process (AHP) approach for prioritisation of the identified causes. The results of the study reveal that incomplete documentation, incorrect goods declaration, corruption, manipulation by customs brokers, and lack of procedural knowledge of the importer were the major hurdles in the timely clearance of imported cargo. Journal: Int. J. of Integrated Supply Management Pages: 233-252 Issue: 3 Volume: 15 Year: 2022 Keywords: global supply chain management; customs clearance; analytical hierarchical process; AHP; delay causes. File-URL: http://www.inderscience.com/link.php?id=124440 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:3:p:233-252 Template-Type: ReDIF-Article 1.0 Author-Name: Julio Cesar Londoño Author-X-Name-First: Julio Cesar Author-X-Name-Last: Londoño Author-Name: Juan José Bravo Author-X-Name-First: Juan José Author-X-Name-Last: Bravo Author-Name: John Willmer Escobar Author-X-Name-First: John Willmer Author-X-Name-Last: Escobar Title: Inventory routing problem categorisation considering pickup decisions in closed-loop supply chains Abstract: This paper is related to integrating backhaul decisions associated with returnable transport items (RTIs) pickup process to the inventory routing problem (IRP). RTIs are reusable packaging materials that must be collected and brought back to the supplier for reuse. Nowadays, RTIs are used to handle a wide range of products for carrying out and warehousing and need to be returned to be reused. The integration of a collection of RTIs to the IRP means that the supply chain cycle becomes closed, and its efficiency can be increased. This article categorises the problem that integrates the well-known backhaul reverse logistics decisions, and the collection RTIs (CLIRPB) is presented. A broad taxonomic review to obtain this framework was performed. The paper shows the research gaps primarily related to integrating the IRP and RTIs backhaul collection decisions. It presents a set of problems by considering the physical scenario characteristics present in real life, becoming an opportunity for future research. Journal: Int. J. of Integrated Supply Management Pages: 74-119 Issue: 1 Volume: 15 Year: 2022 Keywords: transportation; inventory routing problem; supply chain management; backhauls; closed loop chains. File-URL: http://www.inderscience.com/link.php?id=119584 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:1:p:74-119 Template-Type: ReDIF-Article 1.0 Author-Name: Harun Öztürk Author-X-Name-First: Harun Author-X-Name-Last: Öztürk Title: Optimal manufacturer-buyer cooperative inventory models under unequal shipment policy with emergency replacement of sub-standard items Abstract: This study considers replacement of sub-standard items with perfect ones from a local emergency manufacturer, since it would not be cost-effective to send these items back and would create an unequal shipment policy problem in the integrated inventory model of a single manufacturer and single buyer. This study presents two models. In the first model, it is assumed that the manufacturer supplies the quantity ordered by the buyer in geometric shipments. In the second model, the shipments of the quantity ordered by the buyer are assumed to be supplied in geometric-then-equal-sizes. The paper presents an iterative procedure to find the optimal solution, which is then tested through numerical examples which illustrate the results produced by the proposed models. Through this computational study, it was found that a 23% improvement can be achieved in the total supply chain cost by replacing sub-standard items in emergency, rather than repairing and salvaging them. Journal: Int. J. of Integrated Supply Management Pages: 49-73 Issue: 1 Volume: 15 Year: 2022 Keywords: supply chain management; SCM; inventory; integrated model; emergency purchase; unequal shipments. File-URL: http://www.inderscience.com/link.php?id=119586 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:1:p:49-73 Template-Type: ReDIF-Article 1.0 Author-Name: Stanislaus Solomon Author-X-Name-First: Stanislaus Author-X-Name-Last: Solomon Author-Name: Gertrude P. Pannirselvam Author-X-Name-First: Gertrude P. Author-X-Name-Last: Pannirselvam Author-Name: Haitao Li Author-X-Name-First: Haitao Author-X-Name-Last: Li Title: Using integrated simulation-optimisation to optimise staffing decisions in a service supply chain Abstract: The purpose of this research is to address the problem of staffing skilled personnel in a service setting where personnel are drawn from an outsourcing firm and where uncertainty in resource availability is explicitly considered. To achieve this objective, we design and implement a new simulation-optimisation algorithm by combining a scatter search metaheuristic with Monte Carlo simulation. Through a real-life case study and a comprehensive computational experiment, this paper shows that the solution quality provided by our simulation-optimisation framework is superior to the deterministic solution based on point estimates. The framework explicitly addresses uncertainty results in a staff sourcing strategy that is robust and less prone to be impacted by changes in resource availability. Effective implementation of such a framework in outsourcing context requires well-coordinated information sharing and integrated decision-making between the supply chain partners. Journal: Int. J. of Integrated Supply Management Pages: 1-26 Issue: 1 Volume: 15 Year: 2022 Keywords: personnel outsourcing; service supply chain; resource allocation; staffing; simulation-optimisation; Monte Carlo simulation; metaheuristics; scatter search. File-URL: http://www.inderscience.com/link.php?id=119589 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: Stefan Zeisel Author-X-Name-First: Stefan Author-X-Name-Last: Zeisel Author-Name: Moritz Peter Author-X-Name-First: Moritz Author-X-Name-Last: Peter Title: Navigating offshoring supply chain management decisions between cost advantages and corporate social responsibility risk Abstract: In the globalised world, companies would source major parts of their production, mainly for economic reasons, from low-cost countries. Therefore, it is important to understand implicit corporate social responsibility (CSR) risk when making offshoring decisions. This article presents a transparent composite index of CSR risk for a list of 170 countries. Combining the country CSR index with GDP per capita can help firms identify attractive offshoring destinations with relatively low CSR risk. This innovative approach allows companies to reconcile CSR considerations with economic success when designing international supply chains. Journal: Int. J. of Integrated Supply Management Pages: 410-433 Issue: 4 Volume: 15 Year: 2022 Keywords: offshoring; outsourcing; corporate social responsibility; CSR; procurement; supply chain management; supply chain law; sustainability. File-URL: http://www.inderscience.com/link.php?id=125989 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:4:p:410-433 Template-Type: ReDIF-Article 1.0 Author-Name: Tuan Son Nguyen Author-X-Name-First: Tuan Son Author-X-Name-Last: Nguyen Author-Name: Sherif Mohamed Author-X-Name-First: Sherif Author-X-Name-Last: Mohamed Author-Name: Anisur Rahman Author-X-Name-First: Anisur Author-X-Name-Last: Rahman Author-Name: Fahim Tonmoy Author-X-Name-First: Fahim Author-X-Name-Last: Tonmoy Author-Name: Lap Thi Tran Author-X-Name-First: Lap Thi Author-X-Name-Last: Tran Author-Name: Trung Kien Pham Author-X-Name-First: Trung Kien Author-X-Name-Last: Pham Title: Hybrid supplier selection considering reliability of criteria and importance of assessment values Abstract: Supplier selection process is challenged by compiling information from decision-makers who often have different roles within organisations, with competing priorities. This difference in decision-makers' perspectives can introduce bias in the supplier selection process. Evaluation of suppliers is also challenged by decision-makers' inability to provide a precise numerical value reflecting their choices. To address these issues, this paper develops a new supplier selection model that enables a systematic process for aggregating preferences of non-homogeneous decision-makers who use linguistic labels to express their preferences. The model also considers two critical pieces of information: reliability of criteria and importance of assessment values (with respect to their ordering). A case study is used to demonstrate application of the proposed model. The model and its procedure can help managers select the most appropriate supplier that satisfies the organisation's requirements. Journal: Int. J. of Integrated Supply Management Pages: 27-48 Issue: 1 Volume: 15 Year: 2022 Keywords: analytic hierarchy process; AHP; LOWA operator; WOWA operator; supply chain management; SCM; supplier selection. File-URL: http://www.inderscience.com/link.php?id=119590 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:1:p:27-48 Template-Type: ReDIF-Article 1.0 Author-Name: Mostofa Wahid Soykoth Author-X-Name-First: Mostofa Wahid Author-X-Name-Last: Soykoth Author-Name: Mohammad Mizenur Rahaman Author-X-Name-First: Mohammad Mizenur Author-X-Name-Last: Rahaman Author-Name: Md. Alamgir Hossain Author-X-Name-First: Md. Alamgir Author-X-Name-Last: Hossain Author-Name: Md. Jahangir Alam Author-X-Name-First: Md. Jahangir Author-X-Name-Last: Alam Title: Green supply chain and customer satisfaction in modern retailing: a dual-perception analysis with SEM approach Abstract: In this age of circular economy, amid rising social and environmental concerns, companies and customers are increasingly aware of eco-friendly supply chain implementation. The study aims to investigate twofold perceptions (customers' and employees') regarding the effect of green supply chain management (GSCM) on customer satisfaction (CS) through product quality, service quality, and product-service cost. A survey was conducted with structured questionnaires encompassing 509 valid participants (398 customers and 111 employees). This study provides two key findings using structural equation modelling (SEM) and confirmatory factor analysis (CFA). First, according to customers' perception, GSCM does not have a direct impact on CS; it has a positive and statistically significant impact (indirect) on CS when product quality (PQ), service quality (SQ), and product-service cost (PSC) are there as mediators. Second, as per employees' perception, GSCM does not directly affect customer satisfaction; however, a positive and statistically significant indirect relationship exists where only PQ and PSC mediate the relationship. The findings bridge gaps in green supply chain literature, demonstrating how, from an environmental aspect, taking care of product quality, service quality, and cost results in increased customer satisfaction and provides invaluable contributions to understanding green supply chain behaviour. Journal: Int. J. of Integrated Supply Management Pages: 381-409 Issue: 4 Volume: 15 Year: 2022 Keywords: green supply chain; modern retailing; customer satisfaction; product quality; service quality; product-service cost. File-URL: http://www.inderscience.com/link.php?id=125990 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:4:p:381-409 Template-Type: ReDIF-Article 1.0 Author-Name: L.N. Pattanaik Author-X-Name-First: L.N. Author-X-Name-Last: Pattanaik Author-Name: Paras Agarwal Author-X-Name-First: Paras Author-X-Name-Last: Agarwal Author-Name: Urja Narayan Author-X-Name-First: Urja Author-X-Name-Last: Narayan Author-Name: Saloni Ranjan Author-X-Name-First: Saloni Author-X-Name-Last: Ranjan Title: Optimal adaptation of supply base in dynamic demand cycles of a reconfigurable supply chain Abstract: Dynamic variation in demand has led to the need for agility and reconfiguration in supply chains. This paper presents a bi-objective optimisation problem related to performances of a reconfigurable supply chain. Two conflicting objective functions are developed to minimise the cost of supply chain and achieve maximum value for the aggregate reliability of suppliers selected in a known demand cycle. Since the two objective functions are in trade-off, a set of multiple Pareto optimal solutions are found in a search with the help of a multi-objective evolutionary algorithm: self-organising migration algorithm (SOMA). A novel aggregate fitness-based method is applied to select the best solution from the Pareto set using priority weightages from the decision maker. To illustrate the optimal selection of suppliers in real industry, a laptop assembly firm's supply chain is taken from literature. Dynamic demands for four consecutive cycles are used to describe the computational steps and solutions. Journal: Int. J. of Integrated Supply Management Pages: 434-453 Issue: 4 Volume: 15 Year: 2022 Keywords: self-organising migration algorithm; SOMA; reconfigurable supply chain; non-domination; Pareto-optimal solutions; aggregate fitness. File-URL: http://www.inderscience.com/link.php?id=125991 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:4:p:434-453 Template-Type: ReDIF-Article 1.0 Author-Name: Amaia Iraeta Trancho Author-X-Name-First: Amaia Iraeta Author-X-Name-Last: Trancho Author-Name: Christoph Manuel Meyer Author-X-Name-First: Christoph Manuel Author-X-Name-Last: Meyer Title: Supply chain redesign for the circular economy Abstract: The transition from a linear economic model to a circular economy is rapidly becoming a necessity rather than an option for businesses. However, research on frameworks for building and operating circular supply chains is still lacking. Aiming to fill this gap, this paper identifies drivers and challenges for redesigning supply chains for the circular economy through a systematic literature review and a multiple case study analysis. The major drivers identified are brand image improvement and expansion to new markets and customer segments. The main challenges are lack of experience and knowledge, financial investment and product design. Based on the comparative analysis of six cases of companies having implemented circular supply chain management, we propose a process framework for operating circular supply chains. Our framework builds on the well-established SCOR model and includes the two additional processes use and recover as suggested by Vegter et al. (2020). From the multiple case study analysis, we derive the required sub-processes for the eight primary management processes of this extended SCOR model. The resulting framework can be used as a blueprint for companies designing circular supply chains. Journal: Int. J. of Integrated Supply Management Pages: 349-380 Issue: 4 Volume: 15 Year: 2022 Keywords: circular economy; supply chain; circular supply chain; circular supply chain management; SCM; circular design; circular business model; circular economy framework; transition. File-URL: http://www.inderscience.com/link.php?id=125994 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:4:p:349-380 Template-Type: ReDIF-Article 1.0 Author-Name: Dmitry Ivanov Author-X-Name-First: Dmitry Author-X-Name-Last: Ivanov Title: Probability, adaptability and time: some research-practice paradoxes in supply chain resilience and viability modelling Abstract: Modelling of resilience and viability became crucial and visible research avenues for decision-making support in case of supply chain disruptions. This article discusses some research-practice paradoxes stemming from typical problem settings and assumptions in supply chain resilience and viability modelling. We show that the categories of probability, adaptability, and time are major determinants of resilience and viability modelling in supply chains. As an example, we discuss how probability-based supply chain design models can be enhanced through inclusion of adaptability and connectivity characteristics of the network elements with consideration of time. We deduce some open questions the elaboration on which can provide novel and substantial contributions in future. In particular, we stress the importance of furthering our understanding of reliable suppliers, disruption probabilities, disruption time and ripple effect estimation, value-creation perspective of resilience, and viability of intertwined supply networks. Journal: Int. J. of Integrated Supply Management Pages: 454-465 Issue: 4 Volume: 15 Year: 2022 Keywords: supply chain resilience; viability; adaptation; reconfigurable supply chain; modelling; intertwined supply network. File-URL: http://www.inderscience.com/link.php?id=125995 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:4:p:454-465 Template-Type: ReDIF-Article 1.0 Author-Name: Marco Ardolino Author-X-Name-First: Marco Author-X-Name-Last: Ardolino Author-Name: Andrea Bacchetti Author-X-Name-First: Andrea Author-X-Name-Last: Bacchetti Author-Name: Marco Perona Author-X-Name-First: Marco Author-X-Name-Last: Perona Author-Name: Ting Zheng Author-X-Name-First: Ting Author-X-Name-Last: Zheng Author-Name: Federico Adrodegari Author-X-Name-First: Federico Author-X-Name-Last: Adrodegari Title: An exploratory survey on the impacts of Logistics 4.0 on Italian manufacturing companies Abstract: This article focuses on manufacturing logistics, exploring how Italian companies are approaching Logistics 4.0. The purpose is to evaluate the state of the art of technology adoption, highlighting the main influencing factors, and showing the related benefits and obstacles. An exploratory survey was carried out on 91 Italian manufacturing companies. The significance of the influence of the factors analysed regarding the level of adoption of L4.0 has been demonstrated. The study also included eight interviews with survey respondents undertaken to validate the main insights from the survey results. The overall results indicate that the adoption of Logistics 4.0 is still immature but has huge potential. Moreover, the few companies adopting at least one technology have sought benefits related mainly to warehouse activities and efficiency in process operations. The awareness that L4.0 intends a harmonious and integrated implementation of digital technologies to support logistics processes has not yet become widespread. Journal: Int. J. of Integrated Supply Management Pages: 121-150 Issue: 2 Volume: 15 Year: 2022 Keywords: Logistics 4.0; Industry 4.0; digital technologies; manufacturing; exploratory survey. File-URL: http://www.inderscience.com/link.php?id=121909 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:2:p:121-150 Template-Type: ReDIF-Article 1.0 Author-Name: Maxim Rozhkov Author-X-Name-First: Maxim Author-X-Name-Last: Rozhkov Title: Supply chain ripple effect: impact of disruption profile and priority scheduling rules for perishable inventory Abstract: This article covers the influence of supply chain structure and operations on supply chain resilience in general and the ripple effect specifically. We compare different resilience mitigation policies via an agent-based simulation model and show that in the presence of product perishability, the alternative sourcing policy has superior performance compared to inventory buffer creation or disruption acceptance. We analyse two supply chain contours in parallel with simultaneous and independent disruption modes. Disruption mitigation profile and the effects caused by it show that supply capacity deficit is a crucial factor defining supply chain inventory dynamics. Inventory priority scheduling rules change supply chain dynamics during different disruption impact phases. Journal: Int. J. of Integrated Supply Management Pages: 184-205 Issue: 2 Volume: 15 Year: 2022 Keywords: supply chain; disruption; simulation; ripple effect; agent-based simulation. File-URL: http://www.inderscience.com/link.php?id=121938 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:2:p:184-205 Template-Type: ReDIF-Article 1.0 Author-Name: Mehdi Tolooie Author-X-Name-First: Mehdi Author-X-Name-Last: Tolooie Author-Name: Mohsen Alvandi Author-X-Name-First: Mohsen Author-X-Name-Last: Alvandi Author-Name: Mahyar Shahpouri Arani Author-X-Name-First: Mahyar Shahpouri Author-X-Name-Last: Arani Title: Sustainable supplier evaluation and selection in developing countries: an integrated fuzzy framework Abstract: Evaluation and selection of suppliers play a vital role in improving their sustainability performance. In this regard, evaluating the sustainability performance of suppliers is much more critical in developing countries. These countries are among the best destinations for supplying raw materials and workforce utilisation because of lower costs. In recent years, various multi-criteria decision aiding (MCDA) frameworks utilised to evaluate suppliers based on sustainable aspects. However, few studies analysed the evaluation and selection of suppliers' sustainability in an integrated fuzzy MCDA model regarding the supplier selection process and developing nations. This research presents a comprehensive, integrated fuzzy decision model for sustainable supplier evaluation and selection using an integrated FDelphi-FDEMATEL-FANP-FVIKOR by considering sustainability (social, economic and environmental). Also, this research provides a comprehensive analysis of MCDA techniques' literature in terms of the main steps of sustainable supplier selection (e.g., formulation of criteria, handling of criterion's interaction, weight calculation and final selection). The previous research rarely considered the evolution of suppliers' sustainability according to its steps in the literature. This framework assists supply chain managers and practitioners better understand the extraordinary role of these steps on businesses. This research's proposed framework is validated by a numerical example taken from Iran's automotive industry. Journal: Int. J. of Integrated Supply Management Pages: 151-183 Issue: 2 Volume: 15 Year: 2022 Keywords: supply chain management; sustainable supplier selection; SSS; fuzzy MCDM; developing countries. File-URL: http://www.inderscience.com/link.php?id=121952 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:2:p:151-183 Template-Type: ReDIF-Article 1.0 Author-Name: Seyedehfatemeh Golrizgashti Author-X-Name-First: Seyedehfatemeh Author-X-Name-Last: Golrizgashti Author-Name: Hadi Mohammadi Bidhandi Author-X-Name-First: Hadi Mohammadi Author-X-Name-Last: Bidhandi Author-Name: Mohsen Safari Author-X-Name-First: Mohsen Author-X-Name-Last: Safari Author-Name: Hirad Hodaei Author-X-Name-First: Hirad Author-X-Name-Last: Hodaei Title: A causal structure between total quality management, organisational culture, knowledge management, supplier integration and supply chain performance - an FMCG case study Abstract: Supply chains face many challenges in competitive fast-moving consumer goods market such as integration and collaboration among their partners especially suppliers. The proposed conceptual casual model emphasizes customer-supplier interfaces as a key characteristic of applying total quality management practices and its impact on supply chain performance. The structural equation modelling and partial least squares non-parametric method are applied through the use of empirical data collected from studied companies. The results show that total quality management practices has the most effect on supplier integration and supply chain performance respectively. The other highest effects include organisational culture on supply chain performance, total quality management on knowledge management, organisational culture on total quality management, knowledge management on supplier integration and supplier integration on supply chain performance. Knowledge management does not have direct impact on supply chain performance. This study provides some managerial suggestions to improve supply chain performance. Journal: Int. J. of Integrated Supply Management Pages: 206-231 Issue: 2 Volume: 15 Year: 2022 Keywords: supply chain performance; SCP; organisational culture; supplier integration; SEM-PLS; knowledge management; total quality management; TQM. File-URL: http://www.inderscience.com/link.php?id=121990 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:2:p:206-231 Template-Type: ReDIF-Article 1.0 Author-Name: G. Reza Nasiri Author-X-Name-First: G. Reza Author-X-Name-Last: Nasiri Author-Name: Ali Fallah Author-X-Name-First: Ali Author-X-Name-Last: Fallah Author-Name: Hamid Davoudpour Author-X-Name-First: Hamid Author-X-Name-Last: Davoudpour Title: A memetic algorithm for integrated location-inventory problem to optimise the total cost and customer service level Abstract: This paper proposes a mixed integer nonlinear mathematical formulation for an integrated location/allocation problem with uncertain demands. The model includes inventory policy, service level optimisation, logistics decisions and transportation modes. Two integrated and sequential solution approaches based on the memetic algorithm are used to solve the real-size problems. Furthermore, an upper bound inventory approximation is proposed for improvement of capacity planning. The implementation outputs indicate that integrated procedure results are considerable for a wide range of problem sizes, with average cost saving about 1.8%. The ANOVA analysis shows that the difference between CPU time values of the two procedures is significant. More detailed analysis is provided to prove the efficiency of the proposed solution approach. Journal: Int. J. of Integrated Supply Management Pages: 253-279 Issue: 3 Volume: 15 Year: 2022 Keywords: service level optimisation; inventory control decisions; capacity planning; distribution network design; risk pooling effect; memetic algorithm. File-URL: http://www.inderscience.com/link.php?id=124404 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:15:y:2022:i:3:p:253-279