scholarly journals The Dynamics of Sustainability Risks in the Global Coffee Supply Chain: A Case of Indonesia–UK

2021 ◽  
Vol 13 (2) ◽  
pp. 589
Author(s):  
Mahdi Bashiri ◽  
Benny Tjahjono ◽  
Jordon Lazell ◽  
Jennifer Ferreira ◽  
Tomy Perdana
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Simulation Modeling ◽  
Multiple Criteria Decision Making ◽  
Accurate Solution ◽  
Model Parameters ◽  
Key Stakeholders ◽  
Modeling Paradigm ◽  
The Individual ◽  
Coffee Sector

Indonesia is one of the leading global coffee producers, and the sustainability of its coffee supply chains is therefore of crucial importance, not only for the coffee sector, but also for the thousands of livelihoods involved. Recognising sustainability risks within supply chains is an important component of understanding logistics. This research investigated the sustainability risks in the Indonesia–UK coffee supply chain by using System Dynamics (SD), a simulation modeling paradigm commonly used to assess complex systems. The model parameters and other components of the dynamic model were extracted through interviews with key stakeholders in the coffee supply chain, supported by evidence from a literature review. The model was then verified and validated in different stages, before being used to investigate five different what-if scenarios to consider changes to parameters in the system. The results of this investigation demonstrate the importance of improving agricultural productivity to support a sustainable coffee supply chain. This research also confirms that by combining the SD model and the multiple criteria decision-making technique, it is possible to achieve a more practical and accurate solution than by the individual tool alone, thus ensuring a better understanding of the whole issues affecting the coffee supply chain.

Sales of Ferrous and Non-Ferrous Metals in Indian Markets: Some Supply Chain Issues

2016 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Rahul Sharma ◽  
Kamal Vagrecha
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Complete Synchronization ◽  
Ferrous Metals ◽  
Business Functions ◽  
Non Ferrous Metals ◽  
The Individual ◽  
Long Term Performance ◽  
Term Performance

Supply chain management embodies the complete synchronization of the business functions in an organization. It also involves the strategy across these business functions within a particular business and across businesses within the supply chain, for the purposes of improving the long-term performance of the individual companies and the supply chain as a whole<sup>7</sup>. Metal supply chains involves another peculiarity as most of the companies involved are bothered more about the sales volumes rather than giving attention to the improving their supply chains. Companies in this sector often tend to give more importance to product rather than customer aspirations. In order to stay competitive a business has to strengthen its supply chain so that it adds more and more value in its offerings to the customers. This is even more important as customers are increasingly demanding more value in the product they buy. This has led the businesses to make their supply chains flexible and responsive.

scholarly journals The growing scale and scope of the supply chain: a reflection on supply chain graduate skills

2016 ◽  
Vol 21 (5) ◽  
pp. 610-626 ◽  
Author(s):  
Christine Jordan ◽  
Ozlem Bak
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Time Management ◽  
Education Institution ◽  
Content Type ◽  
Key Stakeholders ◽  
Future Supply ◽  
Industry Needs ◽  
It Skills ◽  
Depth Interviews

Purpose The growing scale and scope of the supply chain requires a greater understanding of the broader supply chain skills picture. This study aims to assess the supply chain skills needs within the context of a UK-based higher education institution involving graduates, academics and employers to appreciate the graduate skills demands of modern supply chains. Design/methodology/approach A mixed methods study entailing in-depth interviews with academics followed by a questionnaire distributed to graduates and employers has been designed and utilised. Findings The findings indicate that the changing supply chain scope encourages the requisition and development of different supply chain skills with varied levels of emphases in relation to 25 skills identified in the literature. Key graduate skills needs are highlighted, including time management, collaborative learning, teamwork and problem solving, with the addition of two supply chain skill areas, namely specialist training and the understanding and application of regulations. The findings of the current study present a limited emphasis on information technology (IT) skills, despite the significant IT advancements and changes in supply chains. Research limitations/implications The study has been carried out in a UK university delivering undergraduate supply chain management courses. It would be beneficial to test whether the findings are exemplary across other supply chain courses and to investigate the integration of these skills within the supply chain syllabus and how employers, graduates and academic parties could actively engage in developing the agenda for future supply chain skills needs. Practical implications This research paper highlights the gaps in supply chain skills, which inevitably puts considerable pressure on operatives and managers whose responsibility it is to ensure compliance with regulations and professional bodies. Originality/value This paper contributes to the supply chain skills discussion and reports subject relevant challenges for supply chain educators by engaging three key stakeholders – graduate employers, graduates and academics. The findings have generated additional supply chain skills to the academic literature, in addition to providing an understanding of the weighting of skills in terms of their importance and application to industry needs.

scholarly journals A Hybrid Genetic Algorithm-Ratio DEA Approach for Assessing Sustainable Efficiency in Two-Echelon Supply Chains

2020 ◽  
Vol 12 (19) ◽  
pp. 8075
Author(s):  
Mohammad Reza Mozaffari ◽  
Sahar Ostovan ◽  
Peter Fernandes Wanke
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Hybrid Genetic Algorithm ◽  
Data Envelopment ◽  
Endogenous Factors ◽  
Ratio Data ◽  
Correlation Structures ◽  
Efficiency Estimation ◽  
The Individual

Measuring sustainable efficiency is a wide research topic that has gained increased relevance over the course of the years, particularly in the field of supply chain management. In this paper, novel Data Envelopment Analysis—ratio data (DEA-R) models are used to assess sustainable efficiency in two-echelon supply chains based on endogenous factors. Genetic algorithms are employed to determine optimal productive weights for each echelon and the overall supply chain by taking into account the hidden correlation structures among them as expressed in non-linear multi-objective functions. A case study on 20 firefighting stations is presented to illustrate the approach proposed and its accuracy for decision-making, as long as the issues of pseudo inefficiency and over estimation of efficiency scores are mitigated. Results indicate that the method proposed is capable of reducing efficiency estimation biases due to endogenous sustainable factors by yielding overall scores lower than or equal to the product of the efficiencies of the individual stages.

scholarly journals Developing Fair Investment Plans to Enhance Supply Chain Visibility Using Cooperative Games

2019 ◽  
Vol 11 (11) ◽  
pp. 3209 ◽  
Author(s):  
Changhyun Kim ◽  
KwangSup Shin
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Theoretic Approach ◽  
Sustainable Supply Chain ◽  
Information Communication ◽  
Collaborative Game ◽  
Game Theoretic ◽  
Feasible Solutions ◽  
The Individual ◽  
The Impact

As supply chains become more complex and globalized, the individual participants of the supply chains should invest in systems based on information communication technologies (ICT) such as the remote frequency identification device (RFID) with tags that secure the visibility of the entire supply chain. In addition, the level of visibility, such as the container, pallet, carton, and box, should be determined for each participant to optimize its own profit function. By using a collaborative game scheme, the present study illustrates the relationships among participants who invest to a certain level of visibility, and then how much value each participant gets. To find feasible solutions, a genetic algorithm-based mechanism is devised for modeling various fitness functions considering the total profit and benefit to cost (B/C) ratio. The proposed framework considers the relationship among participants, as well as the impact from the enhanced visibility, and it may be possible to make fair and rational decisions for all participants based on the quantitative metrics such as the B/C ratio. In this paper, we propose a novel method based on the game-theoretic approach where the enhanced visibility prevents a certain participant from taking most of the benefit. It seems possible to establish a long-term sustainable supply chain visibility by distributing profit fairly to all participants in the supply chain.

Supply Chain Responsibility and Sustainability

2020 ◽  
Vol 39 (2) ◽  
pp. 147-168
Author(s):  
Ryan Atkins ◽  
Cam Caldwell ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Moral Disengagement ◽  
Social Performance ◽  
Business Case ◽  
Direct Control ◽  
Managerial Implications ◽  
The Individual ◽  
Ethical Predisposition ◽  
The Impact

Decisions made by supply chain managers have a far-reaching impact on the economic, environmental, and social performance of entire supply chains, even though many activities in the supply chain occur beyond the direct control of those managers. Some firms establish a line of moral disengagement, beyond which they distance themselves from the impact of the activities of the supply chain. This research addresses the question of why some managers choose to take responsibility for the sustainability of their supply chain, while others do not. We argue that the ethical predisposition and moral complexity of the individual employee moderates the interpretation of the drivers of sustainability, increasing or decreasing their ability to build a business case for supply chain responsibility. We also argue that ethical predisposition moderates the likelihood of a business case being enacted. We then discuss theoretical and managerial implications resulting from this finding.

scholarly journals Warehouse location problem in supply chain designing: a simulation analysis

2019 ◽  
Vol 50 (2) ◽  
pp. 101-110
Author(s):  
Emilian Szczepański ◽  
Roland Jachimowski ◽  
Mariusz Izdebski ◽  
Ilona Jacyna-Gołda
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Input Data ◽  
Location Problem ◽  
Mathematical Formulation ◽  
Erlang Distribution ◽  
Model Parameters ◽  
Logistics System ◽  
Warehouse Location

The facility location problem is a popular issue in the literature. The current development of world economies and globalization of the market requires continuous improvement of methods and research in this field. The location of the object determines the time of transport, affects the operational costs of the supply chain, and determines the possible amount of inventory or minimum inventory levels. These are critical issues from the point of view of designing an effective logistics system. The degree of complexity of current decision-making problems requires the construction of mathematical models and support for the decision-maker by optimization and simulation methods. A comprehensive and systemic approach to the problem allows the effective planning of supply chains. The purpose of this article was to study the sensitivity of the warehouse location problem in the supply chain. The solution was obtained based on the methodology developed under the SIMMAG3D project. The article presents the characteristics of the issue of the location of warehouse objects, the mathematical formulation of the solved problem of location and the method of its solution based on the heuristic algorithm using the modification of the Busacker-Gowen method. Then, a supply chain simulation model was developed in the FLEXSIM environment and scenario studies were performed for various input data and model parameters. The analysis and assessment of the solution based on parameters such as utilization of the potential of warehouse objects object were presented. Random change in demand described by Erlang distribution and normal distribution was considered. The analysis showed how the selection of a statistical distribution to describe the input data can affect the shape of the logistics system. The article ends with a summary of considerations and a plan for further research in the use of the simulation environment to support the decision-making process of the location of storage facilities and the functioning of supply chains.

scholarly journals A multi-level method of support for management of product flow through supply chains

2015 ◽  
Vol 63 (4) ◽  
pp. 933-946 ◽  
Author(s):  
M. Magiera
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Production Systems ◽  
Production Plant ◽  
Production Lines ◽  
Product Flow ◽  
Delivery Times ◽  
Flow Through ◽  
Level Method ◽  
The Individual

Abstract The paper presents a three-level method used to support the management of product flow through supply chain links (e.g. production lines) and between these links: suppliers and recipients of products of various types.The supply chain includes both producers of components (suppliers) and recipients of these components, which are used for the production of complex goods. The method is dedicated to the development of schedules of product flows through particular production plants (links in supply chains) and between individual plants. Each module of the developed system refers to a separate production plant. The organization of product flow through production lines covers different types of production routes and different configurations of production systems. At the first level of the method, preliminary production schedules are developed for each plant within the supply chain. The second level of the method is dedicated to the development of delivery schedules of components and semi-finished products to these plants. The determined delivery times of components to the individual production plants constitute data for the third level of the method. At this lowest level, detailed schedules of product flow through production lines with the producers of complex goods are developed. Linear mathematical models have been built for each level of the method. In the developed method, optimization take place in the developed method in the scale of the entire supply chain (cost reduction), as well as in the scale of its links (production lines for which manufacturing schedules are built with various criteria taken into consideration). The computational experiments used for verification of the method have been included.

scholarly journals Risk Minimisation in Integrated Supply Chains

2019 ◽  
Vol 9 (1) ◽  
pp. 593-599
Author(s):  
Jan Strohmandl ◽  
Zdeněk Čujan
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Customer Service ◽  
Risk Identification ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
The Individual ◽  
Supply Chain Risks ◽  
Identification Analysis ◽  
Criticality Analysis

AbstractIntegrated supply chains, due to their complexity, are vulnerable in relation to various types of risks, especially in the present turbulent market environment, characterised by increased demand for effectiveness of the individual logistic activities, extended customer service and decreased cost. The supply chain risks are represented by any threatening event that may unexpectedly disrupt or restrict material flow, or directly stop the scheduled logistic or manufacturing activities. Supply chain risk management includes risk identification, analysis and implementation of measures against potential risk consequences. This article describes supply chain management, risk elimination methods in the case of a technological breakdown and potential subsequent supply chain failure and application of the modified Failure Mode, Effects & Criticality Analysis (FMECA).

scholarly journals Pandemic Supply Chain Research: A Structured Literature Review and Bibliometric Network Analysis

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 7
Author(s):  
David Swanson ◽  
Luis Santamaria
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
Simulation Modeling ◽  
Future Research ◽  
Empirical Methods ◽  
Infected People ◽  
Economic Problems ◽  
The World ◽  
Management Issues

In early 2020, COVID-19 infected people throughout the world and brought world commerce to a standstill. Many believe that governments and global businesses were not as prepared as they should have been. While academics have occasionally predicted the economic problems that could result from pandemics, until 2020, there had been scant research that addresses supply chain management issues during pandemics. Eighty-four percent of all pandemic supply chain research was published in the first ten months of 2020. Since the world now finds itself operating supply chains in response to the pandemic, this literature needs to be summarized and articulated for understanding and future research. This literature review addresses that need by summarizing the research which has been generated since 1997, focusing primarily on the bulk of the research that has been published since the COVID-19 pandemic began. Research tools are used to summarize the literature citations, and the articles are coded according to some important variables to further delineate their details. This research also includes a bibliometric co-citation analysis, which clusters the pandemic supply chain literature by author, journal, and article. The findings are that pre-COVID-19 research on pandemic supply chains was primarily about influenza and the healthcare supply chain, whereas post-COVID-19 research provides more analysis of the food supply chain and uses a wider variety of research methods, including simulation, modeling, and empirical methods.

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