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.

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem

2009 ◽  
Vol 2 (4) ◽  
pp. 24-42 ◽  
Author(s):  
R. Dhanalakshmi ◽  
P. Parthiban ◽  
K. Ganesh ◽  
T. Arunkumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Production Plant ◽  
Two Stage ◽  
Cost Structures ◽  
Multi Stage ◽  
Product Costs

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this article, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A two-stage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. The authors consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

Performance Measurement and Risk Management Framework of the Enterprise’s Integrated in Logistic Chains in the Context of the Information Society

2015 ◽  
Vol 795 ◽  
pp. 47-52
Author(s):  
Mircea Constantin Duică ◽  
Anişoara Duică ◽  
Iwona Grabara
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Balanced Scorecard ◽  
Production Systems ◽  
Measurement Techniques ◽  
Product Management ◽  
Frequent Change ◽  
Measurement Framework

The intensified competition, the frequent change of the clients’ preferences and the globalization of the capital, product, service and information flows have turned the efficient product management into an essential factor for increasing competitiveness in production systems integrated in supply chains. In this context, industrial excellence can be obtained only by an efficient process piloting, using some performance measurement systems that permit a good substantiation of the decisions based on correct and reliable information, taking into account the risks specific to supply chains. The paper includes a review of the literature in the field of performance measurement for supply chains to understand the current practice and contributes to the development of the supply chain performance measurement framework using risk management, the case study method, a statistic quantitative data analysis and modern performance measurement techniques such as: balanced scorecard and supply chain operation reference.

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 Beyond Kulturkritik: Along the Supply Chain of Contemporary Capitalism

2014 ◽  
Vol 6 (1) ◽  
pp. 77-93 ◽  
Author(s):  
Brett Neilson
Keyword(s):  
Twentieth Century ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Production Systems ◽  
Chain Management ◽  
Production Culture ◽  
Cultural Processes

Notions of Kulturkritik stemming from twentieth century accounts of mass con-sumption present culture as an effect of the mode or relations of production. Culture becomes the means by which capitalism imposes itself as an ideological system. This paper asks how Kulturkritik might be revived or revisited in the current moment of capitalist globalisation. Focusing on changes to production systems introduced by the growth of logistics and supply chain management, it argues that cultural processes of translation, signification, communication and argument have become deeply and materially embedded in the development of capitalism. Particular attention is paid to how infrastructure and technology shape relations of capital and labour. The paper asks how the subjective force of labour can exploit the vulnerabilities inherent in supply chains and confront the networked forms of organisation that enable contemporary capitalism. Overall the aim is to establish a role for culture in struggles against capitalism and to rethink the place of critique and ideology in the wake of such an approach.

scholarly journals Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1864
Author(s):  
Theresa Sobb ◽  
Benjamin Turnbull ◽  
Nour Moustafa
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chains ◽  
Cyber Security ◽  
New Technologies ◽  
Production Systems ◽  
Future Research ◽  
Security Issues ◽  
Technology Processes

Supply chain 4.0 denotes the fourth revolution of supply chain management systems, integrating manufacturing operations with telecommunication and Information Technology processes. Although the overarching aim of supply chain 4.0 is the enhancement of production systems within supply chains, making use of global reach, increasing agility and emerging technology, with the ultimate goal of increasing efficiency, timeliness and profitability, Supply chain 4.0 suffers from unique and emerging operational and cyber risks. Supply chain 4.0 has a lack of semantic standards, poor interoperability, and a dearth of security in the operation of its manufacturing and Information Technology processes. The technologies that underpin supply chain 4.0 include blockchain, smart contracts, applications of Artificial Intelligence, cyber-physical systems, Internet of Things and Industrial Internet of Things. Each of these technologies, individually and combined, create cyber security issues that should be addressed. This paper explains the nature of the military supply chains 4.0 and how it uniquely differs from the commercial supply chain, revealing their strengths, weaknesses, dependencies and the fundamental technologies upon which they are built. This encompasses an assessment of the cyber risks and opportunities for research in the field, including consideration of connectivity, sensing and convergence of systems. Current and emerging semantic models related to the standardization, development and safety assurance considerations for implementing new technologies into military supply chains 4.0 are also discussed. This is examined from a holistic standpoint and through technology-specific lenses to determine current states and implications for future research directions.

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem

2011 ◽  
pp. 275-289
Author(s):  
R. Dhanalakshmi ◽  
P. Parthiban ◽  
K. Ganesh ◽  
T. Arunkumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Production Plant ◽  
Two Stage ◽  
Cost Structures ◽  
Multi Stage ◽  
Product Costs

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this article, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A two-stage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. The authors consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem

2011 ◽  
pp. 273-289
Author(s):  
R. Dhanalakshmi ◽  
P. Parthiban ◽  
K. Ganesh ◽  
T. Arunkumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Production Plant ◽  
Supply Chain Network ◽  
Cost Structures ◽  
Multi Stage ◽  
Product Costs

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this article, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A twostage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. The authors consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

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.

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.

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