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.

Information Supply Chains

2011 ◽  
pp. 584-595
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.

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.

An Autonomic SLA Monitoring Framework Managed by Trusted Third Party in the Cloud Computing

2018 ◽  
Vol 8 (2) ◽  
pp. 66-95 ◽  
Author(s):  
Adil Maarouf ◽  
Youssef Mifrah ◽  
Abderrahim Marzouk ◽  
Abdelkrim Haqiq
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Autonomic Computing ◽  
Service Level ◽  
Third Party ◽  
Trusted Third Party ◽  
Computing Paradigm ◽  
Monitoring Framework ◽  
Monitoring Module ◽  
And Control

This article describes how currently, service level agreements (SLAs) assurance forms one of the major challenges for cloud computing (CC) in order to guarantee quality of service (QoS) in real-time and control SLA violations. However, due to the highly dynamic nature of this open environment, it is important to have a binding agreement between all the service parties for ensuring trust while fulfilling the expected QoS. To properly operate and manage such complex situations, an effective and efficient monitoring is crucial. The participation of a trusted third party (TTP) is necessary in order to resolve conflicts between involved parties. This article proposes an autonomic SLA monitoring framework managed by TTP composed of two modules: the first one SLA establishment module, which aims at providing support for automated SLA generation and management. The second one, a service monitoring module to dynamically monitor QoS metrics by detecting SLA violations at runtime to verify compliances for the respective SLAs, and to propose a mechanism for an adaptive remedy rectification, as a contribution at the third maturity level of the autonomic computing paradigm as defined by IBM. The framework is validated with scenarios on response time and availability, the results obtained are promising. They confirm that this framework manages SLAs in an efficient way as it detects all violations to be communicated to concerned parties, and identifies particular penalty clauses that can be used to modify the reputation of a provider over time. The TTP framework equipped with such reputation module can provide real-time assessment for consumers informed decision making to continue using a service or to migrate to another service provider in the case of service degradation. This creates a fair competitiveness between providers and hence improves service performance and the reliability in the cloud.

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.

Negotiation, Trust, and Experience Management in E-Supply Chains

2011 ◽  
pp. 236-257
Author(s):  
Gavin Finnie ◽  
Zhaohao Sun
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Real Time ◽  
Unified Model ◽  
Supply Network ◽  
Logical Framework ◽  
Trust Negotiation ◽  
Chain Management

This chapter reviews fundamentals of e-supply chain management and examines the transformation from the traditional supply chains to the e-supply chains (e-SC). This chapter applies experience management (EM) and experience-based reasoning (EBR) to intellegent agents in the e-SC and explores how to use experience in extablishing trust in other agents. The role of trust and deception in supply chains for real-time enterprises is discussed, and a logical framework for fraud and deception is explained in this chapter. EBR is considered as a way to manage trust in the supply network. This chapter explores cooperation and negotiation, trust and deception in e-supply chains by providing methodologies and intelligent techniques for multiagent trust, negotiation, and deception in an e-SC. Finally, a unified model is developed for integrating cooperation and negotiation, trust and deception in e-supply chains. Although primarily theoretical, the chapter highlights new areas of research which will impact supply chain management.

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.

Structural model of information quality framework to e-agri supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shivani Agrawal ◽  
Vinay Singh ◽  
Yogesh Upadhyay
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Value Of Information ◽  
Information Quality ◽  
Structural Model ◽  
Equation Modeling ◽  
Content Type ◽  
Market Expansion ◽  
Quality Framework ◽  
The Impact

PurposeDue to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.Design/methodology/approachSurvey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.FindingsThe results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.Practical implicationsThe findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.Originality/valueThe study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

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.

Evolving a bi-objective optimization model for an after sales supply chain in presence of information asymmetry and service level requirement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohit Goswami ◽  
Yash Daultani ◽  
Atul Tripathi
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Asymmetry ◽  
Objective Function ◽  
Optimization Model ◽  
Information Quality ◽  
Mathematical Structure ◽  
Service Level ◽  
Problem Instance ◽  
Content Type

PurposeOptimization of resources related to man, money, manpower and those related to organization is critical in context of after-sales supply chains. Many times, organizational objectives in terms of resource optimization and providing superior customer experience might be conflicting, however.Design/methodology/approachOne such instance is when customers expect near 100% service level in which case the organizational costs to meet such high service level goes up significantly. To this end, in this research a novel bi-objective optimization model has been evolved for a typical after-sales service supply chain network constituted of the manufacturer, the retailer and the customer. The first objective function pertains to maximization of the manufacturer's and the retailer's profit. The second objective function is related to the minimization of tardiness of order fulfilment (by the retailer) for the customer.FindingsEmploying a small problem instance, the authors generate a number of findings related to service level and information asymmetry. In particular, the authors observe that achieving best possible manufacturer-retailer profit and at the same time 100% service level is a mathematical impossibility. Furthermore, reducing information asymmetry between the customer and the retailer (as opposed to reducing information asymmetry between the retailer and the manufacturer) actually yields higher profits for the manufacturer-retailer pair.Originality/valueThis research describes the mathematical structure of a three-tier after-sales supply chain wherein information quality and service level requirements are key constraints. Furthermore, the study evolves the bi-objective optimization model as a formulation that can drive the operational decisions of manufacturers and retailers who are part of such after-sales service supply chains.

The Business Conversation- Where We're Going

2011 ◽  
pp. 53-83
Author(s):  
Stephen J. Andriole
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Real Time ◽  
20Th Century ◽  
Business Models ◽  
Chain Management ◽  
Best Friend ◽  
Technology Investments ◽  
The Right ◽  
Business Technology

So what do we have here? This conversation will focus on: Collaboration and all of its flavors, including supply chain management, personalization, customization, optimization, automation and trust – and how if you’re not thinking about collaborative business models you’re toast. Continuous versus discrete transactions – the big change from the 20th century which, among other things, has obliterated the distinction between business and e-business and forced us to think about “whole customer/supplier/employee/partner management.” Real-time analytics – your next best friend. • The collaboration and integration investment filters as uber-filters: if business technology investments don’t pass, you don’t do them. Business scenarios and how to build them, because you have to model your collaborative future before you can make the right business technology investments.

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