International Journal of Business Performance and Supply Chain Modelling (17 papers in press)
EXAMINING GREEN PRACTICES AND FIRM PERFORMANCES
by Gyanendra Prasad Bagri, Dixit Garg, Ashish Agarwal
Abstract: Recent time, increasing demand for industrialisation, awareness of customer about environmental impact, and regulatory pressures, are pressurising manufacturing companies to adopt a proactive approach to improve environmental performance along with business advantages. Therefore, required effective ways to implement green practices in manufacturing companies. In this work identified the Green practices and their links to the firm performances. In the present work, green practices and firm performances have been identified through the literature review and experts opinion. Moreover, in this work Trapezoid Fuzzy DEMATEL (Decision-making trial and evaluation laboratory) method has been used to analyse the interrelationship among green practices and firm performances. However, the fuzzy set is used to express the uncertain and linguistic opinion of experts, whereas DEMATEL is used to determine the influential and influenced criterion (green practices and performance). This study results reveals that the implementation of green practices influences the firm performances.
Keywords: Green practices; supply chain performance; Fuzzy set; DEMATEL method.
A collaboration model for product development through the integration of PLM and SCM in a cabling industry
by Ghita Chaouni Benabdellah, Karim Bennis
Abstract: Managing the product development is a challenging mission, and most researches would argue that is fundamentally linked to intentional action and it cannot emerge out of complexity. In fact, the company aims to achieve different requirements such as reducing time, seeking high product quality, maintaining sustainable products by controlling the product activities and also by building collaborations between all the supply chain actors. Thus, to ensure optimal performance, the leading companies adopt Product Life cycle Management (PLM) to manage information while considering a collaboration between different product lifecycle phases. However, the PLM literature is extensive with many papers modeling the complex structure of the product development process. Several researchers define semantic models and ontologies to present and integrate information through the product Lifecyle. While others deal only with particular cases that consider some phases of the product lifecycle. Nevertheless, despite the theoretical and scientific background used in these researches, the models still not generalizable for different domains and do not include an industrial application. In this respect, the aim of this paper is first to address a systematic review from 2000 to 2020 by investigating the past and current research of PLM models, supply chain actors and performance. The key problems and issues are also discussed. Second, we propose a collaboration model for the management of the product information throughout the whole product lifecycle by the integration of the PLM system, the actors of the supply chain and the performance criteria. Furthermore, to validate the proposed model, we implement a PLM system for an international cabling company.
Keywords: Product Lifecycle Management; Supply chain actors; Performance; PLM models.
Cross-docking versus traditional warehouse in a chain store: a deductive study based on agent-based simulation
by Reza Zamani Basir, Mohsen Akbarpour Shirazi
Abstract: The purpose of this paper is to conduct a deductive study to choose the best distribution strategy for a chain store. A cross-docking system was proposed for a chain store, which used a traditional warehouse, to enhance the supply chain performance and reduce distribution costs. The simulation is an approach to study the feasibility of cross-docking before its actual implementation. Among various simulation methods, the agent-based simulation is used in this paper. By applying agent-based simulation method and some performance metrics, the cost reduction and performance improvement are more common in the cross-docking system in comparison with a traditional warehouse. The present paper contributed to utilizing an agent-based simulation approach in cross-docking that was less used than classical approaches in the literature. Also, the agent-based simulation of cross-docking in the literature was mainly done for cross-docking optimization and not for managerial level decisions which have been done in this research.
Keywords: Agent-based Simulation; Supply Chain; Distribution; Cross-docking; Retailer.
Modelling Sustainable Agri-Food Supply Chain: a theoretic system construct
by Tripti Tripti, Ravi Shankar
Abstract: Stakeholders in an agri-food supply chain (AFSC) have responsibility to embrace sustainability as a yardstick to measure their business operations. System based thinking for an AFSC is essential to harmonise interest of each parties while identifying and evaluating various critical success factors (CSFs) considering stakeholder's view in a sustainability perspective. This study examines relevant critical variables statistically tested for reliability and consistency for implementing system wide sustainability in AFSC. The Total Interpretative Structural Modelling (TISM) digraph is derived from the inter-relationship of the variables and the Matrix Multiplication Applied to Classification Analysis (MICMAC) technique is used to priorities the CSFs based on the potency of their driving and dependence linkages. The developed model offers discussion, analysis and managerial implication in the light of stakeholder-oriented management within the overall paradigm of system sustainability. The study establishes that the government role is the most important critical variable which conditions the whole system by offering guiding principles to all stakeholders for policy advancement and effective implementation. The study would help supply chain managers to avoid accumulating data that have little relevancy rather focus on the data built around critical variables only.
Keywords: System sustainability; critical success factor; stakeholder management; sustainable agri-food supply chain; Total Interpretative Structural Modelling; Matrix Multiplication Applied to Classification Analysis.
Development of levels of buyer-supplier collaboration: A Delphi Study
by Ankita Kashyap, Pooja Lakhanpal
Abstract: The world is witnessing a stupendous increase in collaborative buyer supplier practices in sustainable supply chains due to large scale globalization and mounting stakeholder pressure. There is an increasing need for classifying collaborative parameters into stages and levels of progression. With various already existing indicators of buyer supplier collaboration, classifying these collaborative parameters into stages and levels of progression is required to understand the development of these practices. This paper attempts to identify various significant indicators of such collaborations in Indian markets and to establish the different levels of collaborative spectrum Indian buyers and suppliers perspective. This study uses Delphi Method to identify, rank and categorize the significant factors in levels of buyer supplier collaboration, using multi stakeholder view-points. A total of 66 experts comprising of academicians, NGOs and representatives of buyers and suppliers were selected participate in the three rounds of Delphi study. The study establishes seven levels of buyer supplier collaboration that represent consensus-based indicators and display stages of locally accepted assessment of sustainable supply chain collaboration.
Keywords: Buyer Supplier Collaboration; Supply Chain; Sustainable; Sustainable Supply Chain.
A Critical Analysis of how BMW Designs a Collaborative and Value-Adding Supply Chain
by Yang Liu, Yu-Lun Liu
Abstract: This study empirically explores the role of the relationship between warehousing, the market and suppliers, as well as the relationship between inventory and forecasting teams, by using BMW as a case study. Three theoretical perspectives were considered: demand-facing warehousing, supplier-facing warehousing, and CPFR (collaborative planning forecasting and replenishment). The results reveal that, although BMW is ultimately expanding warehouses to approach more overseas customers, all of BMWs warehouses are still built close to suppliers. Furthermore, BMWs forecasts consider the influence of sales events, such as auto shows and movie promotions, and use data from BMWs exclusively set up website to explore the market deeper. The findings contribute to the knowledge of the automotive industries by highlighting the best practices of collaborative and value-adding supply chain.
Keywords: BMW; Supply Chain Management; Warehousing; Collaborative Planning Forecasting and Replenishment; Automotive Industry.
Risk Management In Supply Chains under COVID-19 conditions
by Olga Domnina, Tatyana Sakulyeva, Andrey Solovev, Rodion Rogulin
Abstract: Risk analysis in supply chains is usually based on generally accepted risk classification. However, the coronavirus pandemic in 2020 posed new challenges for supply chains, requiring a rethinking of risk assessment approaches, with a focus on post-pandemic recovery and SC's ability to adapt to new business conditions. Due to the novelty of the circumstances that have arisen, few studies have been devoted to the complex impact of the external environment on the occurrence of risks in SCM under COVID-19 conditions. This study is aimed at performing a descriptive and comparative analysis of the potential risks of supply chains in a number of countries, as well as at assessing the processes of their integration into global supply chains based on the Global Resilience Index FM 2020 as a parameter of resilience of an entity to disruptive events, which fully meets the requirements for a comprehensive assessment of supply chain risks. According to the findings of the research, when formulating a supply chain risk management strategy, the focus should be on an analysis of the external environment and the sustainability of the supply chain. The results and methods of this study can be applied by top managers of supply chain risk management, while government officials can use the results and methods of this article to determine policy for supply chain management.
Keywords: risk management; COVID-19 conditions; supply chain; resilience index; risk factors.
Impact of revenue-sharing contracts on improving profits for manufacturers and suppliers in the supply chain of organic textile products
by Hasan HALIFE, Malek Alshukur
Abstract: This article is concerned with designing a supply chain for organic textile products to improve, to increase and to ensure a fair distribution of profits for all participants in such a supply chain. To make such a supply chain as an integrated system, it was first important to ensure that the cotton products are produced organically, and then to suggest a supply chain in a "win-win" strategy. The various contracts possible between the various members of the supply chain were presented and analysed mathematically using the Game Theory. It was found that there were six possible contracts based on the scenarios of the game between the suppliers and the vendors. Further, it was possible to define the conditions which improve the profits in comparison with the case in which these contracts were not employed. This study is important because it promotes sustainability through encouraging the trade in organic cottons. Additionally, it helps in ensuring a fair distribution of the benefits and in improving profit shares for most members of the supply chain of organic cotton, in particular suppliers and manufacturers.
Keywords: supply chain; organic textiles; green products; revenue-sharing contracts; Game Theory.
The Role of Culture Adoption in Moderating the Influence of Country Image, Corporate Image, Brand Image on Brand Attitude and Purchase Intention toward Foreign Brands
by Budhi Haryanto, Joseph Aditya Pandu Gunawan, Rakotoarisoa Maminirina Fenitra, Ansar Abbas
Abstract: This study examines the role of cultural adoption in moderating the relationship of Country Image to Corporate Image and Brand Image to Brand Attitude and Purchase Intention to foreign brands. During the Covid-19 pandemic, data collection was conducted online for Indonesian people interested in the Japanese restaurant Sushi Tei. The data collected from 171 respondents were analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that only Corporate Image and Brand Image were found to significantly affect Brand Attitude and Purchase Intention, while Country Image was insignificant. Furthermore, in the moderation test, the Homologizer moderation effect was found. Culture Adoption did not moderate any relationships between the conceptualized variables, but what was found was a significant relationship between Culture Adoption and Brand Attitude. The mediation test found that Brand Attitude partially mediated the relationship between Corporate Image, Brand Image, and Purchase Intention. This study also discusses its implications, both theoretically and practically, and its implications for future studies.
Keywords: country image; corporate image; brand image; brand attitude; purchase intention; cultural adoption.
Profit-Maximizing Model for Weibull-deteriorated Product under Credit Financing Policy
by Archana Sharma, Pinky Saxena, Kuldeep Sharma
Abstract: The paper manages the issue of deciding the financial request amount under states of allowable deferral in instalments. A credit period plotted where the provider offers to the purchaser a credit period in settling the record with a fixed time, in addition to extra postpone time contingent upon the amount requested. Article associates with three parameter Weibull deteriorating items with price dependent demand where we have observed a certain change in regard of organizations marginal value in terms of profit. Linear holding cost and inflation have adapted to justify the real scenario of market fluctuations. Backlogging are fully realized to the customer. The effect of inflation is also considered. To illustrate the solution procedure, we have taken some numerical example and sensitivity analysis to validate the effective of our proposed article.
Keywords: EOQ; Weibull deterioration; price associated demand; inflation; shortages and trade-credit.
The challenges and problems in the implementation of supply chain management (SCM) in small and medium scale industries: A case study of Indian coir industries
by Debesh Mishra, Suchismita Satapathy
Abstract: For sustainable economic development, the rural or small or medium scale industry play a vital role. By encouraging in setting up of these industries in diverse regions of country will help in the attainment of political freedoms, economic freedoms and also in the foundation of newer social orders. The Indian coir industry has been regarded as one of the rural or small or medium scale industry when compared to other emerging industries. However, due to a number of constraints, the present coir industries are degrading in terms of their growth and development. An effective implementation of supply chain management (SCM) strategy would ensure in proper functioning of these coir sectors in a competitive level. Therefore, this study aimed at making a SWOT analysis of the existing coir industries in Odisha state in India, which was further followed by the identification of the challenges and problems for effective implementation of SCM strategies. Moreover, the interpretive structural modelling (ISM) method was used to find the interrelations among those challenging variables and to develop an interrelationship model followed by Matrice d'Impacts Crois
Keywords: Coir industries; Challenges; Supply Chain Management; SCM; SWOT; Factor-analysis; ISM; MICMAC; Odisha; India rn.
Analysing the Impact of Supply Chain Risks on the Strategic Performance of Power Generation Companies: A System Dynamics Approach
by Sahar ALMashaqbeh, J.E. Munive Eduardo, Mohd Khurshid Khan
Abstract: The supply chain has a significant impact on the strategic performance of organizations. This paper develops a System dynamics (SD) model to assess the effects of supply chain risks on the performance of power plants. The model considers the strategic long-term view. Data are collected through a literature review, focus groups interviews and questionnaires. A case study approach is conducted to build and validate the model. The process to build the model involves two phases, an Improved Failure Mode and Effect Analysis (IFMEA) is applied to identify and understand the risks and the Analytic Hierarchy Process (AHP) is utilised to calculate the risk priorities. These priorities are then populated in the SD model. The model includes various risk perspectives (social, economic, environmental and operational) interact with the supply chain risks. Supply chain risks have a significant impact on the performance of power plants in the long run. The simulation shows that the supply chain risks are significantly affected the performance of power plants. The availability is significantly affected by 70.75%, followed by the efficiency of 21.75% finally, the operational and maintenance cost is affected by 7.5% for the case study.
Keywords: Supply Chains Risks; System Dynamics Modelling and Simulation; Sensitivity Analysis; IFMEA and AHP.
Evaluation of supply chain routes based on control engineering and DEA considering traffic congestion and uncertainty
by Ardavan Babaei, Majid Khedmati, MohammadReza Akbari Jokar
Abstract: The occurrence of disasters sometimes has irreparable consequences, including disruption in the energy distribution where transportation systems fail due to damage or safety considerations. Hence, comprehensive planning is of vital importance in such conditions, where energy demands should be satisfied as soon as possible to reduce post-crisis problems. In this paper, a mathematical model is proposed to assess the flow distribution based on the traffic criterion. In the mathematical model, the resilience and stability criteria are developed based on the concepts of control engineering and optimal control. The results show that the route stability is dependent on the traffic parameter. Then, considering several factors including stability, safety, resilience, risk-averse investment, the environment and noise, a decision-making model is presented to evaluate the performance of the flow distribution routes during crises. Goal programming and data-oriented modeling are used to solve the mathematical model. Data Envelopment Analysis (DEA) is used as the data-oriented model to evaluate the performance of scenarios under uncertainty. Then, the most efficient scenario is used as the goal. Additionally, a decision-making methodology is proposed for ranking the routes. The results show that, in general, increasing the beta leads to lower desirability of a given route. Finally, a managerial analysis is presented based on efficiency, risk, and the PEST measures.
Keywords: energy distribution; supply chain routes; uncertainty; crisis situations; traffic criterion; decision-making; efficiency.
IMPACT OF SOCIAL SUSTAINABILITY ON SUPPLY CHAIN PERFORMANCE WITH MEDIATING EFFECT OF DIFFERENTIATION: THE CASE OF MOROCCAN MANUFACTURING FIRMS
by Aicha Elaiche, Ali Osman Kusakci
Abstract: This study examines the relationship between social sustainability practices (SSPs) and supply chain performance (SCP) indicators in the context of Moroccan manufacturing companies with a three-step research methodology. Among the various supply chain KPIs used in the literature, the three most preferred by supply chain experts were selected with Interval Type-2 Fuzzy AHP (IT2F-AHP) method, which offers an accurate approach in subjective decision- making situations. Afterwards, the data collected with the developed instrument were evaluated using the Structural Equation Modeling (SEM) technique. Lastly, in order to understand the nature of the inferred relationship, the moderating role of differentiation, as a competitive advantage strategy, was assessed. The findings obtained show that there is a significant relationship between social sustainability and supply chain performance for the Moroccan manufacturing sector, which may inspire further research in other developing markets. Additionally, it has been found that differentiation has a total mediation effect on the two aforementioned constructs relationship.
Keywords: Social Sustainability; Supply Chain Performance; Differentiation; Interval Type-2 Fuzzy AHP; Structural Equation Modelling.
A Novel Integrated Approach on Growing Supply Chain for Multi-Species Poultries with Carbon Emission and Preservation Technology
by Tharani Subbaih, Uthayakumar R
Abstract: This study comes up with a two echelon growing supply chain consistingrnof a primary poulterer and a secondary poulterer for multi-species poultries. We derive the mathematical growing inventory model with preservative technique, a quantity discount, and carbon emission. We classify the emission into two types, namely the direct and indirect emissions. We incorporate the quantity discount as a function of secondary poulterer's order quantity and it is inscribed to be the all-unit-discount format. The objective is to maximize the profit function of both poulterers. Numerical illustrations and sensitivity are carried out to show the application of the proposed model. In this study, a genetic algorithm(GA) tool has been developed to nd the expected maximum prot cost of the proposed inventory model. Also, we compare the results of each poulterer with the integrated approach of two poulterers.
Keywords: Integrated supply chain; Growing inventory model; Carbon emission; Preservation Technology; Quantity discounts.
Container Freight Rate Level Forecasting with Machine Learning Methods
by Yaling Feng
Abstract: In an ocean container transportation market, the fluctuation of spot rate is volatile, making it difficult for market players to optimize freight related operations. In freight forecasting literature, univariant methods often outperform the multivariant counterpart, although the latter is more convenient in modelling variable interdependency. This paper applies an multivariant approach to first identify the significant factors affecting rate development and then utilizes machine learning methods to handle the complex multivariant nonlinearities, attempting to achieve an balance between forecasting accuracy and economic factor interpretation. One compromise on accuracy is to categorize relative rate changes into 5 levels, which is considered equally valuable as exact rate forecasting according to business decision-makers. In the Far East Europe trade case study, it is found that four key factors, demand, the regression value of freight rate fitted to the time series model, utilization rate and the change of the fleet's overall freight capacity, affect the rate development significantly; and among the tested machine learning methods, Random Forest outperforms the other. Comparing with the best time series model (ARIMA), the obtained multivariant model performs equally well, indicating that despite of the complex nonlinearities between the variables in container freight, multivariant modelling in combination with machine learning methods has the potential for a reliable prediction of freight development direction.
Keywords: Container Freight Rate; Multivariant Forecasting; Univariate Forecasting; Machine Learning.
Stochastic Sequential Supply Chain Management System: With a solution approach using the Systematic Sampling Evolutionary Method
by Natnael Nigussie Goshu, Semu Mitiku Kassa
Abstract: Supply chain management describes a complex sequence of strategies implemented by
multiple decision makers to transform raw materials into products and deliver to the market. Mathematical formulations of such problems involve hierarchical games with some form of stochastic properties in the problem definition. Such kind of mathematical problems are generally known to be NP-hard and are challenging to solve. This paper considers a general form of supply chain management problem with various forms of model formulations and analysis. Moreover, a solution approach based on a systematic sampling evolutionary method is also proposed to solve any form of such problem definitions to obtain a Stackelberg equilibrium or Stackelberg-Nash equilibrium solution. The convergence of the solution approach is shown. The reliability of the proposed method is checked through some selected deterministic version of the mathematical model and the result is promising. In addition to
this, the algorithm is implemented on carefully constructed stochastic supply chain management problems and solutions to these problems are presented. It has been indicated that the proposed algorithm can also be used to solve a variety of complex stochastic supply chain management problems.
Keywords: Supply chain management; Stochastic multilevel programming; Stackelberg equilibrium; Nash equilibrium; Sample average approximation; Systematic sampling.