Supply Chain Management Environment Research Articles

A carbon neutral supply chain management by considering emission-risk minimization and green purchasing through optimal decision-making

This study addresses critical gaps in supply chain management (SCM) by integrating emission-risk minimization (ERM), green purchasing (GP), and profit maximization (PM). The research focuses on the optimal behaviors of manufacturers, agents, and retailers within the SCM framework to achieve carbon neutrality and reduce carbon dioxide emissions (CO2e). This study considers Guangdong province, China, a region facing challenges in optimizing energy systems and meeting CO2e reduction targets. Simulation-based optimization techniques within mathematical models are employed. A design of experiment (DOE) method was used to explore the dynamics of key variables in the SCM environment. Results reveal optimal behaviors for manufacturers, agents, and retailers, demonstrating the ideal values for profit and pricing decisions. Manufacturers optimize production quantity, achieving CO2e reduction and PM through ERM. Agents exhibit a strong commitment to GP practices, enhancing PM and carbon-neutral goals. Retailers get more PM than manufacturers and agents, contributing to a clean environment. Interestingly, retailers make contributions to the clean environment without considering ERM and GP in SCM. The study contributes novel insights by addressing the identified gap in SCM research, emphasizing the joint consideration of ERM, GP, and PM. This research assists manufacturers, agents, and retailers in terms of PM for economic objectives. It cleans the environment through carbon-neutral SCM in society.

Supplier Evaluation in Supply Chain Environment Based on Radial Basis Function Neural Network

The comprehensive evaluation and selection of suppliers under the environment of supply chain management has become a key factor affecting the success of supply chain. How to select suppliers and the strategic partnership between suppliers under the environment of supply chain management has become an important challenge. To solve this problem, this paper takes the supplier evaluation and selection of Guangzhou Automobile Toyota Company as the research object, constructs the index system of supplier comprehensive evaluation and selection, uses the RBF neural network algorithm to establish the supplier evaluation and selection model, and makes an experimental study. The results show that radial basis function neural network is a local approximation network, which has a unique and definite solution to the problem, and there is no local minimum problem in BP network. It is a method that enables enterprises and suppliers to have a clear understanding and seek further promotion together. The research provides theoretical data support for enterprise managers to make decisions.

Rethinking Global Supply Chain Management in a Changing Environment to Develop an Integrated Freight Transportation System in Bangladesh

Global supply chain management has been a critical aspect of the international business community for decades. With the rapid growth of globalization, companies have been expanding their businesses to different parts of the world, establishing cross-border partnerships and operations, and relying on global trade for their success. In recent years, the environment in which these supply chains operate has undergone significant changes. The COVID-19 pandemic, changes in government policies, and fluctuations in global trade and investment have created a more complex and challenging landscape for companies to manage their supply chains effectively. This has resulted in a need for companies to rethink their supply chain strategies, especially in developing countries such as Bangladesh. The study employs qualitative research methodology to develop an integrated freight transportation system in Bangladesh just after the changing environment of supply chain management due to COVID-19, geopolitics, and other negative impacts that brought supply chain risks/disruptions in the global freight movement from/to Bangladesh through Bangladeshi seaports. The findings of the research brought the transportation disruptions that lead to problems like operation shutdown, lost sales, late deliveries, and reputation loss remarkably. River transport emerges as the overwhelmingly preferred mode, presenting a substantial 60% of the respondents' choices whereas rail mode is only 30% but rail offers advantages in terms of efficiency and cost-effectiveness to make it a strong candidate for transporting goods Furthermore, 41.58% of respondents expressed the view that COVID-19 has significantly disrupted various activities, including the global supply chain and shipping trade. The purpose of this research is to provide a comprehensive analysis of the current state of global supply chain management in Bangladesh and to identify ways to enhance the country's integrated freight transportation system. This research will examine the existing infrastructure, policies, and practices, and suggest mechanisms for improving the efficiency and competitiveness of the supply chain in Bangladesh.

An overview of the SWOT analysis in India's pharmaceutical supply chain

PurposeThe Indian pharmaceutical industry has contributed significantly to global healthcare by securing superior-quality, inexpensive and reachable medicines worldwide. However, supply chain management (SCM) has been challenging due to constantly shifting requirements for short lifecycles of products, the convergence of industry and changeable realities on the ground. This study aims to identify, assess and prioritize the strengths, weaknesses and opportunities of the pharmaceutical SCM environment in India.Design/methodology/approachThe paper employs a Strength, Weakness, Opportunity, Threat (SWOT) analysis and recognizes strategies to utilize the advantages of the strengths and opportunities, rectify weaknesses and resolve threats.FindingsA variety of strategies that could have a positive effect on the Indian pharmaceutical business are presented. Findings and suggested strategies can significantly advance knowledge, enhance understanding and contribute to the growth of a successful SCM for the Indian pharmaceutical sector.Originality/valueThis paper would act as a roadmap to greater comprehension of the market leaders and market leaders' operating climate. The findings from this study will offer academic scholars and business practitioners deeper insights into the environment of SCM.

Impact of Corporate Social Responsibility on Economic Value Added: The Role of the Supply Chain Management Environment at LQ45 Indonesia

Purpose – This research examined the effect and strategy of CSR (Corporate Social Responsibility) on EVA (Economic Value Added) using the SCME mechanism. Methodology – Population data sets were derived from the index LQ45 for the period of August 2022 and compared to the previous six years. Furthermore, a purposive sampling technique was applied to conduct a regression analysis, while mediation used the Hayes process version 4.2, Model 8. The data set was compiled using information from IDX, Bloomberg, and Eikon platforms (Thomson Reuters). Findings – The results highlighted four key conclusions, as follows: High CSR index companies observed a rise in EVA; SCME mediates the effects of CSR on EVA; Company size considerably modifies the effect of CSR on EVA; Company size significantly modifies the effect of CSR on SCME. Originality – This research represents a novel attempt to investigate the relationship between CSR and EVA, the company size dimension's mediative role, and the SCME mediating role in Indonesia's LQ45 Index. The results present intriguing management, policy, and literature implications.

Retaining talent in the maritime sector by creating a work-family balance logic: implications from women managers navigating work and family

PurposeThis paper contributes to the social pillar of sustainable supply chain management. It does so by investigating how women managers in the maritime sector handle work-family conflict, thereby acting as institutional entrepreneurs to create a work-family balance logic. The maritime sector is a male-dominated supply chain management environment, which suffers from a talent gap of a lack of women executives. One reason for this problem is work-family balance issues that deter women from staying in the workforce.Design/methodology/approachThe authors interviewed 35 women working as port managers in different developing countries. The authors analyzed their strategies in coping with the conflict between family and work to create a work-family balance logic.FindingsThe authors found four different types of strategies to handle work-family conflicts. Responses showed that women executives in this sector can be institutional entrepreneurs. Based on the findings, the authors were able to confirm and contribute to the existing model proposed by Silva and Nunes (2021) on sustainable supply chain logic. The authors also provided recommendations for these women as institutional entrepreneurs and for policymakers to retain women talent in the supply chain management.Research limitations/implicationsThe research focuses on a specific supply chain management sector, which is the maritime sector. It also relies exclusively on interview data.Practical implicationsThe authors propose recommendations to develop a work-family balance logic and retain talented women in the supply chain industry based on monitoring equality and supporting their need for a work-family balance, both in the short and long terms.Originality/valueThe authors interviewed women executives in one of the most male dominated sectors. The authors studied their ability to cope with work-family conflicts and identified four ways to create a work-family balance logic. These findings enabled us to show the contribution and limits of women executives as institutional entrepreneurs for work family balance logics in male dominated sectors.

FACTOR INFLUENCING DECISION MAKING MODEL FOR THE ESTIMATION OF COMPETITIVE EFFECTIVENESS AMONG THIRD‐PARTY LOGISTICS PROVIDER

n the modern supply chain management (SCM) environment, Logistics provider-selection is the most critical decision making process, for which the existing literatures enumerate several criteria, that need to be simplified with scientific approach based on analysis. This investigation explores and illustrates the effects of the selected factors for an evaluation of the competitive effectiveness among third‐party logistics (3PL) providers, through a managerial perspective, focusing on the various decision making aspects (DMA). In order to rank the criteria, a self administered and a well structured questionnaire had been used to gather the primary data. The findings analyzed by using Smart PLS to draw the inferences from the research study. An Analytical hierarchical process applied to ranking the criteria and the position has been compared with the convenience sampling method. The framework provided can help the industry leaders to conceptualize, enlarge and to learn the strategies to be adopted for recognizing the 3PL providers. Keywords supply chain management (SCM), third‐party logistics (3PL), decision making aspects (DMA)

System dynamics modelling of fixed and dynamic Kanban controlled production systems: a supply chain perspective

PurposePull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as it affects the finished goods inventory (FGI) and backorders of the system. The purpose of this study is to compare the performance of the fixed and dynamic Kanban systems in terms of operational metrics (FGI and backorders) under the demand uncertainty.Design/methodology/approachIn this paper, the system dynamics (SD) approach was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared the performance of production systems with fixed and dynamic controlled Kanbans at the various demand scenarios.FindingsFrom the present study, it is observed that the dynamic Kanban system has advantages over the fixed Kanban system and also observed that the variation in the backorders with respect to the demand uncertainty under the dynamic Kanban system is negligible.Research limitations/implicationsIn a just-in-time production system, the number of Kanbans is a key decision variable. The number of Kanbans is mainly depended on the demand, cycle time, safety stock factor (SSF) and container size. However, this study considered only demand uncertainty to compare the fixed and dynamic Kanban systems. This paper further recommends researchers to consider other control variables which may influence the number of Kanbans such as cycle time, SSF and container size.Originality/valueThis study will be useful to decision-makers and production managers in the selection of the Kanban systems in uncertain demand applications.

Analysis and Research on Purchasing Management and Cost Control under the Supply Chain Management Environment

Analysis and Research on Purchasing Management and Cost Control under the Supply Chain Management Environment

Cloud computing in logistic and Supply Chain Management environment

Today in the era of digitalization Cloud computing is the cornerstone of modern business models in every industry. Cloud computing is a high-tech platform that will facilitate companies or organizations to manage and host their services without worrying about the stability and security of information telecommunication. Rapid driving technological changes are unstopped process in this Industry 4.0. world. Cloud computing is a trend with enormous implications. Cloud computing provides access to large-scale remote resources in a very efficient and quick manner, with huge potential to adapted and dramatically changed business models in line with current needs and requirements. Despite all the benefits of digital technology, the loss of data and security is the primary concern for companies, which are boosting companies from moving to the cloud entirely. Cloud technologies allow companies to quickly adopt emerging technologies like augmented reality, stability, security, advanced mobile apps, and advanced analytics. Their application is becoming ubiquitous and standardized in the logistics and Supply chain management sector. The logistics industry is characterized by many parties collaboration, where actors that must be integrated and synchronized along the supply chain. Logistics companies get enormous benefits with saving costs, time, and efforts on establishing their own IT infrastructure by applying cloud computing in supply chain management. In this digital transformation, the cloud computing has a key role, it becomes the catalyst for this transformation. Cloud computing, as one of the forces for digitalization, can foster collaboration among the parties in a supply chain, can promote innovation and embed it into organizations, and enable new competitors to enter the market with innovative offers. This makes the usage of cloud computing a very promising issue in global market competitional condition.

The integration of LARG supply chain paradigms and supply chain sustainable performance (A case study of Iran)

ABSTRACT This research aims to conduct whether the lean, agile, resilience, green and sustainable paradigms are applied and combined in the actual environment (Petrochemical Industries) of Supply Chain Management (SCM). A structured literature review of theoretical foundations of manufacturing paradigms in SCM was carried out to achieve this aim. Then the conceptual model is extracted from reviewing theoretical research foundations and structure of ‘Lean, Agility, Resilience, Green’ (LARG) supply chain and sustainability. The novelty of this research is that a classification scheme of manufacturing paradigms in SCM was developed where previous studies were used to find how these paradigms were being integrated. The results indicated that paradigms in SCM, including; Lean, Agile, Resilience, Green, and Sustainable had an important role in the successful performance and competitive advantage. The Goodness of Fit was used to examine the verification model solution. The contribution of this research is an integrated model of LARG supply chain paradigms and sustainable supply chain performance. The proposed model is merged in academic literature for the first time. The integration model of LARG supply chain paradigms and supply chain sustainable performance

Enhancing Blockchain security in cloud computing with IoT environment using ECIES and cryptography hash algorithm

Blockchain is one of the fast growing technologies that has significant role in the area of criminal investigation. The security is becoming a great threat to all the industries, Electronic Health Record(EHR), Banking, Smart Applications (SA), Supply Chain Management (SCM) and IoT environment in recent years. In this research, we have developed a novel framework that will monitor the activities that takes place on particular data evidence, We create a Cloud based Software Defined Network (SDN), its consists of 100 - mobile Nodes (IOT devices), open flow switch and Blockchain based controllers, cloud server, Authentication Server (AS) and investigator. Initially all users are registered with AS and obtain their secret key from AS based on the Harmony Search Optimization (HSO). In the mobile nodes the packets are encrypted by usingElliptic CurveIntegrated Encryption Scheme (ECIES) algorithm and transfer to the cloud server. SDN controller maintains blockchain to preserve evidences collected from data and signature of the users based on the SHA-256 Cryptographic Hash Algorithm. Authorized investigator performs following processes: identification, evidence collection, evidence analysis, and report generation based on the Logical Graph of Evidences (LGoE). we plot the resultant graph for Response time versus Number of users, Evidence insertion time versus number of users, Evidence verification time versus Number of users, Computational overhead versus number of users, Total change rate versus Number of users, Hash computation time versus number of users, Key generation time versus number of users, Encryption time versus number of users and Decryption time versus number of users. Finally, the investigator or other legal people can obtain the evidences from the controller and construct as a Logical Graph of Evidence (LGoE). The experimental analysis revealed the fact that the proposed system obtained better performance in terms of response time, accuracy, increasing throughput and total change security parameters.

Demand Forecasting-using Simulation for SCM Environment

Supply chain management (SCM) is an emerging field that has commanded attention and support from the industrial community. Forecasting activities are widely performed in different categories of supply chains for predicting important supply chain management (SCM) comparis ons such as demand volume in order management, product quality in manufacturing processes, capacity usage in production management, traffic costs in transportation management and so on. Demand forecast taking inventory into consideration is an critical issue in SCM. The demand is forecasted using SIMULATION and compared with various forecasting models. The paper describes an application of discrete event simulation for forecasting the demand for next few periods, where the previous demand pattern show a purely random variation and increasing trend with random variation. The main objective of the study was to determine the demand of the product for future periods based on past data using simulation technique and compare its efficiency with conventional techniques for the SCM environment. By simulation we can forecast the demand either with the same accuracy or with more accuracy by increasing number of iterations. Mean absolute deviation (MAD) is used as measure of accuracy of various techniques. In this paper, this technique is verified by considering a case study which deals with the demand of tyres over past three years(2002,2003,2004) and forecasting the demand in the present year(2005) and successful results are obtained.

An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness

Abstract Supplier selection and order allocation constitute vital strategic decisions that must be made by managers within supply chain management environments. In this paper, we propose a multi-objective fuzzy model for supplier selection and order allocation in a two-level supply chain with multi-period, multi-source, and multi-product characteristics. The supplier evaluation objectives considered in this model include cost, delay, and electronic-waste (e-waste) minimization, as well as coverage and weight maximization. A signal function is used to model the price discount offered by the suppliers. Triangular fuzzy numbers are used to deal with the uncertainty of delay and e-waste parameters while the fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to obtain the weights of the suppliers. The resulting NP-hard problem, a Pareto-based meta-heuristic algorithm called controlled elitism non-dominated sorting genetic algorithm (CENSGA), is developed. The Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) are used to validate the applicability of the CENSGA algorithm and the Taguchi technique to tune the parameters of the algorithms. The results are analysed using graphical and statistical comparisons illustrating how the proposed CENSGA dominates NSGA-II and MOPSO in terms of mean ideal solution distance (MID) and spacing metrics.

Research on Enterprise Logistics Management Innovation Based on Supply Chain Management Environment

In order to promote the innovation of logistics management in China’s enterprises, this paper analyzes the logistics industry in China in combination with the supply chain management environment, points out the current situation of logistics management in China, analyzes the existing problems, and puts forward the measures and development direction of logistics management innovation.

THE RELATIONSHIP BETWEEN LEARNING CULTURE, KNOWLEDGE MANAGEMENT, HUMAN CAPITAL AND ORGANIZATIONAL EFFECTIVENESS IN LOGISTICS SECTOR

Bu araştırmanın amacı, lojistik hizmet sağlayıcılarındaki öğrenme kültürü, bilgi yönetimi, insan sermayesi ve örgütsel etkililik arasındaki ilişkileri incelemektir. Yetenek tabanlı teoriye dayanan bu çalışma ile öğrenme kültürüne sahip dinamik lojistik ve tedarik zinciri yönetimi ortamında örgütsel etkililiği sağlamada ve insan sermayesini kontrol etmede kullanılan bilgi yönetim faaliyetlerinin nasıl başarılı bir şekilde yürütülmesi gerektiğini ortaya koymak hedeflenmektedir. Bu bağlamda, araştırmada, TİM (Türkiye İhracat Meclisi)’ nin ‘‘2016 Yılı Türkiye’nin İlk 500 Hizmet İhracatçısı Araştırması’’nda sıralanan Yük Taşımacılığı ve Lojistik sektöründeki toplam 25 işletmenin mavi yakalı çalışanlarına anket uygulanmıştır. 180 adet anketten elde edilen veriler, yapısal eşitlik modellemesi kullanılarak analiz edilmiştir. Araştırmadan elde edilen bulgular, öğrenme kültürünün bilgi yönetimi, insan sermayesi ve örgütsel etkililik ile anlamlı bir pozitif ilişkisi olduğunu göstermektedir. Ayrıca bilgi yönetiminin insan sermayesi ve örgütsel etkililik üzerindeki etkisinin istatistiksel olarak anlamlı olmadığı saptanmıştır..

The deployment of performance measurement system under the supply chain management environment: the case of Malaysian manufacturing companies

Performance measurement system in supply chain management (SCM) has been receiving increasing attention by business organizations as a way to evaluate efficiency in supply chain activities. Assessing the performance of supply chain uncovers the gap between planning and actual performance as to trace the potential problems thus ascertain necessary areas for improvement. This research aims to investigate the application of performance measurement system in SCM as well as exploring its relationship with organization’s performance among Malaysian manufacturing firms. By utilizing the questionnaire method, respondents involved were requested to indicate the extent to which they use a number of 24 selected performance measures that are related to SCM. The results show that the majority of the observed manufacturing firms utilize specific performance measurement tools in evaluating the supply chain performance. The current performance measurement techniques, the Balanced Score Card is adopted by around a quarter of the total responding firms followed by Supply Chain Operations References Model – SCOR, which attracts total users of only a fifth of the total respondents. In particular, performance measures under customer service category recorded the highest number of usage followed by cost-based performance measures and operations management. The results of this investigation also unveil few major points that are important to be highlighted. Firstly, the obtained outcomes of this study bring to light the significant relationships between the utilization of supply chain performance measures under customer service, operations management and organizational performance. In addition, this study discovered a significant correlation between the size of the organization and the extent of use of supply chain performance measures and how these two variables positively correlated. Lastly, the findings also suggested that the performance measures for SCM has been playing a crucial role in enhancing the performance of the organizations and is increasingly operated as the firms grow in size. Based on the brief highlighted points listed above, it is not an exaggeration to say that this research contributes new information to the body of knowledge in performance measurement system in SCM and its associations with organizational performance.

The thematic landscape of literature in sustainable supply chain management (SSCM)

PurposeThe purpose of this paper is to comprehensively review the vast literature on sustainable supply chain management (SSCM), with the specific objective of a thematic exploration of the literature in order to explicate the principal facets of SSCM development.Design/methodology/approachThis comprehensive review follows the systematic literature review approach.FindingsThe authors find SSCM to develop around five principal facets. The first facet is adoption, which accounts for the development of preparatory grounds – for facilitating the generation of a SSCM philosophy to gradually seep into the frame of traditional supply chain management (SCM). The second facet of implementation accounts for the manifestation of a SSCM-oriented transformation for producing gradual upgrades in the traditional SCM environment. The third facet of extension signifies the broadening of the scope of implementation at a more wider (supply chain) level. The fourth facet of maintenance outlines the need for ensuring the continuity of progress in the course of SSCM development. The fifth facet of outcomes focuses on the yields of SSCM’s pursuit.Originality/valueThese principal facets are built across the multiple levels and unique conceptual standpoints as propagated by 13 themes and 34 sub-themes. These themes are generated based upon 419 articles (2000-2017) from more than 40 leading journals. The authors discuss the facet-specific key implications for guiding the literature in its further advancement, and thus propose a rigorous thematic landscape of the SSCM literature with a unique approach. Overall, the outcomes of this review provide a fundamental organization of the SSCM literature – from the perspective of a journey involved in the transition from traditional to sustainable supply chains.

Joint dynamic pricing and preservation technology investment for an integrated supply chain with reference price effects

In this paper, we propose a system of joint dynamic pricing and preservation technology investment decisions for deterioration items in an integrated supply chain management environment involving a manufacturer and a retailer, a controllable deterioration rate, and price-dependent demand. Because the purchasing decisions of consumers usually involve psychologically encoded prices based upon past shopping experiences, the effects of initial reference prices are also incorporated into the proposed model. An optimal dynamic pricing and preservation technology investment model is then established to determine joint strategy, maximizing the discounted total profit over an infinite time horizon from the perspectives of the retailer and integrated supply chain. We also characterize the properties of the optimal pricing and preservation technology investment decisions, and conduct numerical studies to investigate the impact of initial reference price and various system parameters on the optimal strategies and discounted total profit for the retailer/integrated supply chain. Finally, we offer concluding remarks and suggestions for future studies.

Quadratic Approximation of the Newsvendor Problem with Imperfect Quality

The paper presents a newsvendor problem in a fuzzy environment by introducing product quality as a fuzzy variable, and product demand as a probability distribution in an economic and supply chain management environment. In order to determine the optimal order quantity, a methodology is developed where the solution is achieved using a fuzzy ranking method combined with a quadratic programming problem approximation. Numerical examples are provided and compared in both situations, namely fuzzy and crisp. The results of these numerical examples show that the decision maker has to order a higher quantity when product quality is a fuzzy variable. The model can be useful for real world problems when historical data are not available.