scholarly journals Mediating Dynamic Supply Chain Formation by Collaborative Single Machine Earliness/Tardiness Agents in Supply Mesh

2014 ◽  
Vol 2014 ◽  
pp. 1-21
Author(s):  
Hang Yang ◽  
Simon Fong ◽  
Yan Zhuang
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Single Machine ◽  
Intelligent Agents ◽  
Textile Industry ◽  
Make To Order ◽  
Simulation Based ◽  
Trading Partners ◽  
The Right ◽  
Complex Scenario

Nowadays, a trend of forming dynamic supply chains with different trading partners over different e-marketplaces has emerged. These supply chains, which are called “supply mesh,” generally refer to heterogeneous electronic marketplaces in which dynamic supply chains, as per project (often make-to-order), are formed across different parties. Conceptually, in a supply mesh a dynamic supply chain is formed vertically, mediating several companies for a project. Companies that are on the same level horizontally are either competitors or cohorts. A complex scenario such as this makes it challenging to find the right group of members for a dynamic supply chain. Earlier on, a multiagent model called the collaborative single machine earliness/tardiness (CSET) model was proposed for the optimal formation of make-to-order supply chains. This paper contributes the particular agent designs, for enabling the mediation of CSET in a supply mesh, and the possibilities are discussed. It is demonstrated via a computer simulation, based on samples from the U.S. textile industry, that by using intelligent agents under the CSET model it is possible to automatically find an ideal group of trading partners from a supply mesh.

Supply chain, geographical indicator and blockchain: provenance model for commodity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohita Gangwar Sharma
Keyword(s):  
Supply Chain ◽  
Institutional Theory ◽  
Supply Chains ◽  
Value Chain ◽  
Value Distribution ◽  
Content Type ◽  
Blockchain Technology ◽  
The Right ◽  
Theory Framework

PurposeMany commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how the country of origin–geographical indicator can be used as a method of fair distribution of value and provenance across the supply chain effectuated by the blockchain technology. By looking at an exemplar case study for India, this study provides insights into diverse research streams and practice.Design/methodology/approachBased on the case method, analyzing the implementation of blockchain in the coffee industry by a leading Indian software implementation of the logic, dynamics and forces for a provenance model has been devised. It further adopts a stakeholder cum institutional theory framework to understand the logical implementation of a blockchain project embedded in a territorial logic for a commodity supply chain.FindingsThis study specifically looks at coffee which is representative of a commodity supply chain. It also explores how the malaise of unfair value distribution gets addressed by bringing farmers and the consumers on a common platform facilitated by blockchain technology. This study contributes to the literature on blockchain, territory, commodity and supply chain. Using stakeholder cum institutional theory, this study helps to explore how the implementation is successful by different actors in the supply chain through collaboration.Research limitations/implicationsThis study provides a new stream of multi-disciplinary study at the interface of supply chain, technology, international trade and geography.Practical implicationsBlockchains are embedded in the supply chain, and supply chains are embedded in territories. This linkage is paramount and the ability to make these blockchain projects successful requires the deep study of the interaction of territory, technology and actors from the provenance angle. De-commodification of coffee can be actualized through blockchain.Social implicationsThe coffee paradox and skewed value distribution is also a social problem wherein the farmers do not get the right price of their produce and are exploited. This case also highlights how this social malaise can be addressed and rightful and equitable distribution of value happens across the value chain.Originality/valueThis linkage between territory, blockchain, commodity supply chain and institutions has not been discussed in the literature. Adopting the territorial design approach, this study is an attempt to stimulate inter-disciplinary conversations and thereby create a provenance framework for commodity and research questions for scholars from different disciplines and divergent disciplinary perspectives.

Information Supply Chains

2010 ◽  
pp. 205-217
Author(s):  
Hina Arora ◽  
T.S. Raghu ◽  
Ajay Vinze
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Hurricane Katrina ◽  
Real Time ◽  
Autonomic Computing ◽  
Information Quality ◽  
Computing Paradigm ◽  
Sense And Respond ◽  
Performance Determinants ◽  
The Right

Information supply chains (ISCs) take an information-centric view of supply chains, where information is not only used to support supply chain operations, but also to create value for customers and enable business partners to collectively sense and respond to opportunities in a networked ecosystem. Creating value in the ISC involves gathering, organizing, selecting, synthesizing, and distributing information. In so doing, ISCs should provide secure, confidential, reliable, and real time access to heterogeneous information, while ensuring that the right information is delivered to the intended recipients at the right time. In other words, security, information quality, and information lead-time delays are critical performance determinants in ISCs. Recent disaster events such as Hurricane Katrina have highlighted the need for and value of ISCs by exposing the vulnerability of supply chains to demand surges and supply disruptions. Mitigating supply chain vulnerabilities requires a mechanism that allows for continuously sensing the environment, detecting existing or anticipated vulnerabilities, and responding to these vulnerabilities in real time through information sharing and collaboration. This chapter describes how the autonomic computing paradigm can be used to build resilient information supply chains by restructuring the associated relationships, chains, and networks.

Beyond Intelligent Agents

2011 ◽  
pp. 161-173
Author(s):  
Walter Rodriguez ◽  
Janusz Zalewski ◽  
Elisa Kirche
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Intelligent Agents ◽  
Bullwhip Effect ◽  
Technological Gap ◽  
Business Operations ◽  
Electronic Collaboration ◽  
Trading Partners ◽  
Human Autonomy ◽  
Interactive Experience

This paper presents a new concept for supporting electronic collaboration, operations, and relationships among trading partners in the value chain without hindering human autonomy. Although autonomous intelligent-agents, or electronic robots (e-bots), can be used to inform this endeavor, the paper advocates the development of e-sensors, i.e., software based units with capabilities beyond intelligent-agent’s functionality. E-sensors are hardware-software capable of perceiving, reacting and learning from its interactive experience thorough the supply chain, rather than just searching for data and information through the network and reacting to it. E-sensors can help avoid the ‘bullwhip’ effect. The paper briefly reviews the related intelligent-agent and supply-chain literature and the technological gap between fields. It articulates a demand-driven, sense-and-response system for sustaining e-collaboration and e-business operations as well as monitoring products and processes. As a proof of concept, this research aimed a test solution at a single supply-chain partner within one stage of the process.

Improving Supply Chain Delivery Performance Using Lean Six Sigma

2017 ◽  
pp. 958-980
Author(s):  
Alfred L. Guiffrida ◽  
Kelly O. Weeks ◽  
Lihua Chen
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Performance Model ◽  
Delivery Performance ◽  
Make To Order ◽  
Make To Stock ◽  
Delivery Models ◽  
Static Point

Models for evaluating and improving delivery performance play an important role in the management of supply chains. A review of supply chain delivery models that use Six Sigma methodologies indicate that the models are limited to only make-to-order supply chains where improvement in delivery performance occurs at a fixed (static) point in time. In this chapter, the authors present a generalized delivery performance model that overcomes these limitations. The model presented here can be used to measure delivery performance in both make-to-order and make-to-stock supply chains and supports improvement in delivery performance over a planned time horizon with definable milestones for attaining targeted levels of improvement. Numerical illustrations of the model are presented.

Mobile Applications for Adaptive Supply Chains

2003 ◽  
pp. 298-311 ◽  
Author(s):  
Ravi Kalakota ◽  
Marcia Robinson ◽  
Pavan Gundepudi
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Mobile Computing ◽  
Supply Chains ◽  
Market Share ◽  
Mobile Technology ◽  
Service Management ◽  
Revenue Growth ◽  
The Right ◽  
Computing Models

Streamlining supply chains is a high priority for corporations. In a volatile economy, customer satisfaction, market share and revenue growth become dependent on getting the right product to the right place at the right time. As a result, the notion of adaptive supply chains is emerging as the next competitive battlefield. Fulfillment velocity, inventory visibility, and supplier coordination versatility form the three pillars of adaptive supply chains. To support these business objectives, traditional tethered computing models are inadequate. Untethered models, enabled by mobile computing, facilitate the improvement, management and re-design of next generation supply chains. In this chapter, we examine the different ways mobility is morphing supply chain applications. Specifically, we show how mobile technology and infrastructure is transforming the key areas of procurement, supply execution, supply chain visibility and after-sales service management.

A method for comprehending and adapting complex supply chains in agriculture

2009 ◽  
Vol 9 (1) ◽  
pp. 9-15 ◽  
Author(s):  
A. Ainsley Archer ◽  
Andrew Higgins ◽  
Peter Thorburn
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Case Studies ◽  
Adaptation Strategies ◽  
Inappropriate Use ◽  
Success Stories ◽  
Different Types ◽  
Management Factors ◽  
Agricultural Industries ◽  
The Right

Success stories for applying supply chain methods to enhance agricultural industries are limited, despite their great potential. One key reason is that agricultural chains are subjected to the considerable managerial, social and biophysical complexity, which often leads to the inappropriate use of different methods. We capture supply chain complexity by formulating a matrix of biophysical by management factors. This is used to comprehend supply chain complexity and show how participants in agricultural chains can implement adaptation strategies that add value to their industry. Through various case studies we illustrate how adaptation strategies adopted by chain participants relate to different quadrants of the complexity matrix. An analysis of the literature based on this matrix also shows the suitability of different types of technical methods when used within adaptation strategies of each matrix quadrant. The complexity matrix aids the identification of the right strategies to use for the right problem through engagement with the right people.

scholarly journals Interrelationship among CE Adoption Obstacles of Supply Chain in the Textile Sector: Based on the DEMATEL-ISM Approach

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1425
Author(s):  
Wen-Kuo Chen ◽  
Ching-Torng Lin
Keyword(s):  
Supply Chain ◽  
Textile Industry ◽  
Business Models ◽  
The Common ◽  
Successful Business ◽  
The Government ◽  
Textile Supply Chain ◽  
The Right ◽  
And Control ◽  
Textile Sector

Globally, in the innovative and distributional circular textiles, the textile sector of Taiwan has a prominent place. Within the textile industry, the circular economy (CE) obstacles adopted have been studied by several scholars. However, the interrelationships among these obstacles are easily ignored. The present study aimed to identify CE adoption obstacles from the supply chain (SC) perspective in Taiwan’s textile sector by analyzing the interrelationships among the CE adoption obstacles and establishing a hierarchical network and the causal inter relationships of the identified obstacles. Furthermore, the CE adoption obstacles and interrelationships were analyzed using interpretative structural modeling and the decision-making trial and evaluation laboratory (ISM-DEMATEL). The common results of the two methods demonstrated that two obstacles, consumers not having sufficient knowledge and awareness of reuse/recycling (B1) and a lack of successful business models and frameworks for CE implementation (B3), were the significant obstacles influencing adopting CE in the textile supply chain, while the obstacle making the most efficient way (B12) of the right decision to implement CE was minor. Thus, the government should formulate friendly laws and regulations that encourage CE adoption, while textile firms should monitor and control recycling and efficiency approaches handling the CE adoption problems. Our results could offer first-hand knowledge to textile firms or managers to effetely achieve CE implementation objectives.

scholarly journals Impact of Implementing ISO 14001 Standard Requirements for Sustainable Supply Chain Management in the Textile Industry

2019 ◽  
Vol 27 (6(138)) ◽  
pp. 8-14 ◽  
Author(s):  
Dominik Zimon ◽  
Peter Madzik
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Textile Industry ◽  
Positive Impact ◽  
Research Process ◽  
Iso 14001 ◽  
Extensive Literature ◽  
Sustainable Supply Chain ◽  
Sustainable Supply Chains ◽  
Iso 14001 Standard

The main objective of the study was to determine the effect of the implementation of the requirements of the ISO 14001 standard on creating sustainable supply chains in the textile industry. The research process was conducted in 2018. It was preceded by an extensive literature review of sustainable development and quality management as well as the supply chain. The research tool was a questionnaire sent to top management representatives of organisations operating in south-eastern Poland and Slovakia who possess a certified system according to ISO 14001. However, analysis of the results does not allow to give clear answers to the research questions. Although the majority of respondents noted a positive impact of the implementation of ISO 14001 on improving environmental actions in the supply chain, its impact on the creation of sustainable supply chains is not so obvious. Based on our research, organisations will be able to more consciously decide on the implementation of the ISO 14001 standard requirements.

Interorganizational Information Systems Adoption in Supply Chains

2013 ◽  
Vol 6 (1) ◽  
pp. 24-40 ◽  
Author(s):  
Mohammed N. Shaik ◽  
Walid Abdul-Kader
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Interorganizational Relationships ◽  
Comprehensive Model ◽  
Interorganizational Information Systems ◽  
Adoption Of Technology ◽  
Information Systems Adoption ◽  
Factors Influencing ◽  
Trading Partners ◽  
Context Specific

Supply chain management (SCM) enabled by advances in technology, aims to develop a technical infrastructure linking technology and people, in an effort to align the technology with the capabilities of the organization and among its trading partners. This has led to the importance of the interorganizational information system (IOS) which has been increasingly recognized by organizations. There are several IOS types, including B2B electronic commerce (EC), customer-oriented strategic systems, EDI and electronic markets. The factors influencing the adoption of these systems are presented in the literature, but the IOS adoption in supply chains with supply chain context specific antecedents is very limited. To fill the gap in the literature, in this study a comprehensive model is built on the foundations of technology adoption at the organizational levels and by examining the supply chain context specific antecedents behind the motivations of adoption of technology in supply chains. The developed TOESCM research framework considers the TOE (technological-organizational-environmental) framework and SCM context specific antecedents such as information sharing, interorganizational relationships, and collaboration among trading partners to determine the adoption of IOS in supply chains.

Study on Knowledge Spillover in Supply Chain-Style Industrial Cluster Based on Multi-Agent

2011 ◽  
Vol 58-60 ◽  
pp. 2417-2422
Author(s):  
Bin Qing Cai ◽  
Guo Hong Chen ◽  
Yi Jun Dai ◽  
Xin Huan Huang
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chains ◽  
Industrial Cluster ◽  
Knowledge Spillover ◽  
Knowledge Flow ◽  
Flow Mechanism ◽  
Simulation Based ◽  
Multi Agent

According to social network relations strength, enterprises in industrial cluster supply chains are classified and the structure of supply chain style-industrial cluster is description. The enterprises selected mechanism and the knowledge flow mechanism in industrial cluster supply chain is designed, and then the simulation based on multi-agent are carried out. According to the simulation, the process of process of knowledge spillover in industrial cluster supply chain is draw and various enterprises influence on knowledge spillover in industrial cluster is analyzed.

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