Supply Chain Management In Industry Research Articles

Adoption of digital sales force automation tools in supply chain: Customers' acceptance of sales configurators

Digitalization changes both buying processes and sales processes and, consequently, the dynamics and division of work between buyers and suppliers in the supply chain. This has major implications for industrial marketing and supply chain management. In this study, we analyze the impact of sales configurators, which are used to create valid configurations of market offerings that fulfill customer requirements. The usefulness of sales configurators can be investigated from both the sellers' and buyers' perspectives. In this research, we focus on the latter, and we specifically investigate the antecedents of customers' acceptance of sales configurators in a supply chain. In our analysis, we concentrate on system-level antecedents, which have been neglected by the existing literature. Our research yields better knowledge of how digital sales technologies can be used by customers for improved effectiveness and perceived value. The results demonstrate that ease of use and system adaptability contribute strongly to the perceived effectiveness, and eventually to the perceived usefulness, of sales configurators. Yet, surprisingly, perceived enjoyment is identified as having the most significant effect on perceived usefulness.

Optimal lot-size and Price of Perishable Goods: A novel Game-Theoretic Model using Double Interval Grey Numbers

Industrial supply chain management is facing major challenges associated with supplying perishable products, particularly healthy and high-quality foods with a limited shelf-life that require specific inventory holding conditions. Consumers usually prefer product freshness over its price when making buying decision since they will be able to keep it for a longer term. Demand is considered to be a function of the selling price and reference price as well as the freshness of products associated with their expiry dates and safety stock levels. The model is developed taking advantage of Double Interval Grey Numbers (DIGN) to more accurately formulate consumer behavior and enhance quality of the analytical results in practical decision-making. Moreover, the optimal retailer decision provided by the model is discussed when losing the market share and when there is no consistency between product freshness and price. The present study is conducted to develop and propose a game-theoretic model for the joint decisions made on pricing and lot-sizing by retailers of perishable goods. Numerical experiments confirm the consistency of the optimal pricing and inventory strategies and show that the system was uniquely balanced for different demand scenarios. Sensitivity analysis is also presented to identify the structural characteristics of the problem and understand the impact of different parameters on optimal decision-making.

Blockchain for the future of sustainable supply chain management in Industry 4.0

The objective of this study is to provide an overview of Blockchain technology and Industry 4.0 for advancing supply chains towards sustainability. First, extracted from the existing literature, we evaluate the capabilities of Industry 4.0 for sustainability under three main topics of (1) Internet of things (IoT)-enabled energy management in smart factories; (2) smart logistics and transportation; and (3) smart business models. We expand beyond Industry 4.0 with unfolding the capabilities that Blockchain offers for increasing sustainability, under four main areas: (1) design of incentive mechanisms and tokenization to promote consumer green behavior; (2) enhance visibility across the entire product lifecycle; (3) increase systems efficiency while decreasing development and operational costs; and (4) foster sustainability monitoring and reporting performance across supply chain networks. Furthermore, Blockchain technology capabilities for contributing to social and environmental sustainability, research gaps, adversary effects of Blockchain, and future research directions are discussed.

Digital transformation prospects for the offshore project supply chain in the Russian Arctic

The article provides a comparative digital maturity assessment of two leading petroleum companies licensed for Arctic offshore exploration and production (PAO Gazprom Neft and PAO Rosneft) in a ‘hardware-software-hardware’ succession as well as a comparative analysis with leading practices in offshore project logistics. It identifies approximate cost-cutting limits of digital transformation in Arctic projects and factors limiting cost efficiency of offshore projects in the Russian Arctic. The goal of the study is to identify a potential increase in digital maturity and scope of digital transformation in the Arctic project supply chain in Russia. The study is based on modern approaches to sustainable supply chain management in oil industry and supply chain streamlining for offshore projects. The article identifies a group of factors limiting cost efficiency of Arctic projects, specific to the Russian Arctic. Conclusions and recommendations: the study has shown that the main factor limiting digital transformation of offshore projects in the Russian Arctic is the increasing technological underperformance of oil service companies. To build capacity in digital maturity of the offshore project supply chain, it is necessary to focus on disruptive technologies that could significantly lower the cost of oil production in the Arctic area.

Systematic Approach to Analyze Attacks on SCM: using Blockchain

Smart contracts are programs, which are stored in a decentralized network i.e. Block chain. These are written by users to develop decentralized applications using different platform like Ethereum and bitcoin. In current scenario, even though blockchain support features like security and transparency. Because of solidity language vulnerability, there is a possibility of attacks on smart contracts in blockchain. So, to avoid those attacks like i.e. Locked Ether, Transaction order dependency and Time stamp dependency. We discussed, analyzed and tested these attacks in this paper. Further, in our project supply chain management for textile industry using block chain technology, we have developed smart contract using solidity language on Ethereum Platform. With the aim of protecting our project from these attacks, we are thoroughly and experimentally analyzed. And based on the experimental observations, we are going to protect our project from these attacks. All the above mentioned attacks are thoroughly studied and experimentally tested on Ganache, Ropston test network, Rinkeby test network using Remix IDE in JVM, injectedweb3and web3 provider environments. Finally, we have suggested security measures to protect from these attacks

Impact of knowledge management capability on supply chain management and organizational practices in logistics industry

PurposeThis paper aims to examine the impact of knowledge management capability (KMC) on supply chain management practices (SCMPs), organizational learning (OL) and organizational performance (OP) in the Malaysian logistics industry.Design/methodology/approachThe data were gathered using a self-administered questionnaire from the management team in the logistics companies. A total of 412 questionnaires were collected out of which 183 responses were included in the data analysis. This represents a response rate of 44.4%. The respondents were those with managerial and/or supervisory experience where their job title or functions included Managers, Head of the Department, Owners, Chief Executive Officer, Senior Executive Officer and at the very least, Assistant Manager or Supervisors. To investigate the correlations between all the elements (e.g. KMC, OL, SCMPs and OP), this study used different analysis techniques including correlation analysis, reliability and validity test, as well as a structural model.FindingsThe results indicated that KMC is strongly correlated and has a positive impact on SCMPs in addition to being positively correlated to OL and OP. Also, OL is positively related to OP and SCMPs.Research limitations/implicationsThe findings of this research contribute to the growing body of literature linking KMC with SCMPs, OL and OP.Practical implicationsThe findings provide insight on the importance of knowledge management and OL toward improving SCMPs within organizations. Therefore, the findings are useful for shedding light upon formulating strategies for SCMPs among the decision-makers that will ultimately enhance the overall OP.Originality/valueThis study meaningfully contributes to enhancing the understanding of the state of affairs of the impact of management capability on SCMPs, OL and OP in the logistics industry. Practitioners may formulate strategies to further improve the study presented here for a better implementation of knowledge management and SCMPs within their organizations.

Integrated sustainable supply chain management and firm performance in the Indian textile industry

PurposeThis research study explores the adoption of integrated sustainable SCM practices in the textile industry in India and its impact on the firm's business performance.Design/methodology/approachThe analysis was carried out using the partial least squares structural equation modeling using SmartPLS 3.3.2.FindingsIt was found that the demand-side sustainability initiatives of the large firms and the internal sustainability practices of the small firms directly impacted their business performance. It was also found that the suppliers' sustainability initiatives had a direct and positive impact on the internal sustainability of the firm, which in turn had a direct and positive impact on the demand-side sustainability in the Indian textile industry.Originality/valueThe findings emphasize the distinctive role of each dimension of the integrated sustainable SCM on the firm performance in the Indian textile industry.

The Influence of Supply Chain Management on the Creative Economy Performance of the Culinary Sub-Sector During the COVID-19 Pandemic

This research article advocates improving the performance of supply chain management (SCM) in the creative economy improvement industry in the culinary sub-sector during the COVID-19 pandemic. At present many businesses are struggling to replace the pandemic conditions, one of which is in business processes related to suppliers and distribution channels. Businesses are also required to have a competitive advantage for their businesses in order to maintain or increase the productivity of the creative culinary subsector during the COVID-19 pandemic. It will be the focus of the problem in this research article, which is to study the influence of supply chain management (SCM). It is supported by the results of data processing that shows the supplier variables (X3), distribution channels (X2), and competitive advantage (X1) on business performance (Y) as the dependent variable. It reveals that special economic sector efforts in the culinary subsector need to be prepared strategies in dealing with the COVID-19 pandemic, specifically in supply chain management (SCM).

Digital transformation prospects for the offshore project supply chain in the Russian Arctic

The article provides a comparative digital maturity assessment of two leading petroleum companies licensed for Arctic offshore exploration and production (PAO Gazprom Neft and PAO Rosneft) in a ‘hardware-software-hardware’ succession as well as a comparative analysis with leading practices in offshore project logistics. It identifies approximate cost-cutting limits of digital transformation in Arctic projects and factors limiting cost efficiency of offshore projects in the Russian Arctic. The goal of the study is to identify a potential increase in digital maturity and scope of digital transformation in the Arctic project supply chain in Russia. The study is based on modern approaches to sustainable supply chain management in oil industry and supply chain streamlining for offshore projects. The article identifies a group of factors limiting cost efficiency of Arctic projects, specific to the Russian Arctic. Conclusions and recommendations: the study has shown that the main factor limiting digital transformation of offshore projects in the Russian Arctic is the increasing technological underperformance of oil service companies. To build capacity in digital maturity of the offshore project supply chain, it is necessary to focus on disruptive technologies that could significantly lower the cost of oil production in the Arctic area.

Supply chain management enablers, barriers and disruptions in the animal feed industry in the Western Cape Province of South Africa

Background: The animal feed supply chain in South Africa is an important industry that has experienced numerous changes as it evolved. However, not much is known empirically about the dynamics of implementing supply chain management (SCM) in the animal feed industry in specific South African contexts. Objectives: This study investigates the SCM-related factors for growth (enablers), barriers and disruptions within the animal industry in the Western Cape Province of South Africa. Method: This study used a qualitative method in which managers drawn from the animal feed industry in the Western Cape Province were interviewed. The collected data were examined using thematic analysis. Results: This study showed that the use of technology to achieve goals, bargaining power of the industry and unity, and procurement and supply chain strategy served as the main SCM enablers. The lack of infrastructure, ineffective change management, health and safety, nature of the industry, and skills and qualifications are the primary barriers hindering the effective implementation of SCM. Economic factors, natural disasters and diseases, and a lack of customer loyalty within the animal feed industry were the main SCM disruptions highlighted in the study. Conclusion: This study provides information regarding the factors (enablers) that deserve attention when developing interventions to improve the performance of the animal feed supply chain. The information on SCM barriers and disruptions is relevant when developing risk management initiatives in the animal feed industry.

Green supply chain management in the automotive industry: A study in Brazil

AbstractThe auto industry is experiencing a time of restlessness, which stems from several elements that currently threaten the stability and status quo of its supply chains. Among these elements are autonomous driving, connectivity, electrification, and trip sharing that has led to new forms of mobility. In this context, this article presents the results of a research, which had three main objectives: (1) to identify the green supply chain management (GSCM) practices most commonly implemented in all industrial sectors worldwide, (2) to evaluate how these practices are considered by professionals in the automotive industry and by researchers working on the subject in Brazil, and (3) to identify and evaluate which practices are most widely adopted within these companies and/or supply chains and influence their environmental performance. The research method combined a qualitative research step (Delphi) with another quantitative one (survey). The results show that most of the reality of the automotive industry in Brazil is in line with studies on GSCM practices worldwide, but some specific findings have also been identified and discussed.

APPLICATION OF ROBOTIC TECHNOLOGY IN THE FASHION INDUSTRY

Robotic technology as one of the factors that contribute to the economic growth of Russia has been considered in the article. The strengths and weaknesses, opportunities and threats of robotic technology development in Russia have been analysed. The advantages of use of robots in the fashion industry have been shown. The functioning of the robotic Adidas Speedfactory and some other factories that use in the production process of manufacturing goods of the fashion industry robotic systems, has been studied. The impact of robotic technology on supply chain management in the fashion industry has been assessed. The main reasons for possible changes in global supply chains in the fashion industry have been identified.

Key strategic issues pharmaceutical industry of SCM: A systematic literature review

In this global era, making the competition in the pharmaceutical industry is very treacly. Implementation Supply chain management is the process of planning and managing all sourcing, procurement, distribution activities to increase value to customers and interested companies. Pharmaceutical companies are one that has a very complex supply chain. In this article will discuss the main issues that can improve industry strategic. This research is done by the systematic approach of literature to find things related to research. This study used 64 articles from search results. The results of this search are key issues in the pharmaceutical industry such as product and process development, capacity planning, factory and network design, e-business and IT applications, inventory management, outsourcing and reverse logistics, lean manufacturing, performance measures, people, and information technology. All of these findings are issues that improve the performance of supply chain management in the pharmaceutical industry.

Building theory of green supply chain management for the chemical industry

PurposeIn Bangladesh, the chemical industry is one of the expanding industries based on current statistical data analysis. Green supply chain management (GSCM) is pivotal in order to compete with the global competition. This paper main aim is to discuss a systematic approach to build a structural outline. The purpose of the proposed structural outline is to predict the constructive implementation of GSCM especially on chemical industry in Bangladesh.Design/methodology/approachThis proposed structural framework evaluates the suitable interrelationship next to the barriers of GSCM in the Bangladesh's chemical industry. Here, on the basis of literature review and survey from expert opinions by the use of the Delphi methodology in total eight barriers were concluded. Here additionally, MICMAC analyses were applied to determine the driving and dependence power. Furthermore, the frameworks outline for the barriers were included by means of total interpretive structural modeling (TISM) method.FindingsBased on the analysis, the most significant barriers were found lack of supporting laws and guidance from the government and cost of disposal of hazardous products.Research limitations/implicationsThe TISM technique only has implemented to develop the framework, whereas other tools or structural equation modeling (SEM) technique can be used to develop and validate the frameworks for barriers.Originality/valueIn this research, Delphi method questionnaire generated based on the GSCM in the Bangladesh chemical sector. This study will assist the industrial managers to assess and evaluate the crucial sectors, whereas they should give priority to apply the GSCM in the Bangladesh chemical industry.

QFD Approach in Determining the Best Practices for Green Supply Chain Management in Composite Technology Manufacturing Industries

QFD Approach in Determining the Best Practices for Green Supply Chain Management in Composite Technology Manufacturing Industries

The Effect of its Application on Supply Chain Performance Through Green Supply Chain Management in Food and Beverage Industry in Surabaya, Indonesia

This study examines the effect of IT application on the supply chain performance through green supply chain management in the Food and Beverage Industry in Surabaya. Data collection is conducted using questionnaires designed with a five-point Likert scale. From 70 questionnaires distributed, 64 were considered valid for further analysis. Data analysis uses the SEM-PLS technique with SmartPLS software version 3.0. This study assesses the extent to which the corporate apply IT and adopt the green supply chain management in improving the supply chain performance. The results of this study indicate that the use of IT applications influences supply chain performance. The IT application affects the green supply chain management. Green supply chain management affects the supply chain management. One of the interesting findings is that the IT application indirectly affects supply chain performance through green supply chain management. The findings of this study provide an insight for the manager on how to improve supply chain management. This research also contributes to the on-going research in the field of supply chain management.

Lean supply chain management in garment industry using value stream mapping

Lean supply chain management in garment industry using value stream mapping

The effect of corporate entrepreneurship, organizational culture on supply chain management and business performance in chemical industry

The effect of corporate entrepreneurship, organizational culture on supply chain management and business performance in chemical industry

Evaluation of key enablers of Green supply chain management in Indian manufacturing industries: A Fuzzy approach

Evaluation of key enablers of Green supply chain management in Indian manufacturing industries: A Fuzzy approach

MODEL GREEN SCOR UNTUK PENGUKURAN KINERJA GREEN SUPPLY CHAIN MANAGEMENT (GSCM) INDUSTRI KELAPA SAWIT DI INDONESIA

This paper aims to create Key Performance Indicators (KPIs) to evaluate green supply chain management (GSCM) for palm oil industry in Indonesia. Green supply chain management (GSCM) is a method to integrate environmental aspects to their supply chain. The method in creating KPIs using Green SCOR Model as a basis to develop green objectives and all of indicators. There are 23 KPIs from 9 green objectives for GSCM of palm oil industry in Indonesia. To ensure KPIs more precise then the impotance level of KPIs are measured using analaytic hierarchy process (AHP). According to the experts in palm oil industries there is managing plantations and palm oil mill using ISPO and RSPO certification as the dominant green objectives (29.7 %), followed by minimize and tackle emission from global warming gass (15,9 %), and manage waste ( 11,8 %).