Search results for "Supply Chain Management"

showing 10 items of 78 documents

Journal of Economics and Management Research, N 10

2021

Public secondary schools NigeriaEntrepreneurial Orientation NigeriaLeadership typeEnrolment Nigeria:SOCIAL SCIENCES::Business and economics [Research Subject Categories]Green Supply Chain ManagementEase of doing business NigeriaService quality Nigeria
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The four spheres of value co-creation in humanitarian professional services

2021

PurposeThe study focuses on the value co-creation processes in humanitarian professional services provision, analysing the key enabling factors of beneficiaries' participation, involved in long-term integration programmes (L-TIPs).Design/methodology/approachThrough an in-depth case study, the research looks at the practices of value co-creation in humanitarian professional services, considering both the perspectives of the professional service provider and beneficiary.FindingsIn professional services beneficiary's participation affects the success of the L-TIPs outcomes. Participation's enablers can be classified into four different spheres, each belonging to different elements of professio…

Service (business)Value (ethics)Supply chain managementValue co-creationbusiness.industryService designHumanitarian operations05 social sciencesBeneficiaryBeneficiary participationPublic relationsService providerProfessional servicesSocial integrationManagement Information SystemsValue theory0502 economics and businessLong-term integration programmesCo-creation050211 marketingbusiness050203 business & managementJournal of Humanitarian Logistics and Supply Chain Management
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MODELLI DATA-DRIVEN VALORIZZAZIONE DELLE INFORMAZIONI DIGITALI A SUPPORTO DEI PROCESSI DECISIONALI DELLA SUPPLY CHAIN

2023

Settore ING-IND/17 - Impianti Industriali MeccaniciDigital supply chain management Statistical learning Supply chain disruption Supply chain finance Risk management Public management Health economics COVID-19.
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The Impact Of Demand And Inventory Management Policies On Bullwhip Effect In Production Networks

2004

The bullwhip effect is a phenomenon consisting in variance amplification of orders as they move up a supply chain. The immediate bullwhip effect consequences are the increase of inventory costs, poor custoiner services and inefficient utilization of resources due to the difficulties of production planning activities in highly variable conditions. There are many factors that cause the bullwhip effect, but if is particularly due to demand forecasting and inventory management policies. In this paper the impact on bullwhip effect of different policies to manage demand and inventories has been evaluated through discrete event simulation, using the ARENA (R) simulation package.

Settore ING-IND/35 - Ingegneria Economico-GestionaleSupply Chain Management Bullwhip Effect Demand Forecasting Inventory Management
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Information Sharing and Channel Construction of Supply Chain under Asymmetric Demand Information

2014

Information sharing and marketing channel building have become an important problem of supply chain management theory and practice. The research of information sharing focused on traditional channel of supply chain between upstream and downstream enterprises; however, the research ignores the behavior of information sharing with potential entrants and composite structure characteristics about traditional marketing channel with the direct channel. This paper uses the model to research the effects brought about sharing demand information with potential entrants and building marketing channel, which reveals information sharing and channel building mechanism in the supply chain. The study found…

Strategic dominanceSupply chain managementArticle SubjectApplied MathematicsInformation sharingSupply chainlcsh:MathematicsMarketing channellcsh:QA1-939Demand chainComposite structureBusinessIndustrial organizationBarriers to entryJournal of Applied Mathematics
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Vulnerability matrix of the food system : operationalizing vulnerability and addressing food security

2016

Food security is the major desired outcome of any food system, but its realization may be prevented by vulnerabilities in a food system. By shifting the focus of their vulnerability analysis from the discrete components of the food system to the food system as a whole, the authors of this article were able to develop a qualitative food system vulnerability matrix. The objective of the research was to make the concept of food system vulnerability operational by identifying vulnerability drivers, vulnerable systems and vulnerable subclasses in light of food security. The vulnerability matrix was set up with five classes of vulnerable systems (‘Vulnerability of what?’) on the horizontal axis a…

Strategy and ManagementVulnerability010501 environmental sciences01 natural sciencesIndustrial and Manufacturing EngineeringruokaturvaDocumentationVulnerability assessmentvulnerability drivers0502 economics and businessta512Environmental planningComputingMilieux_MISCELLANEOUSFinland0105 earth and related environmental sciencesGeneral Environmental Science2. Zero hungervulnerable systemsSupply chain managementFood securityOperationalizationvulnerability matrixRenewable Energy Sustainability and the Environmentbusiness.industry05 social sciencesEnvironmental resource managementta5142food securityBuilding and Constructionlanguage.human_languageFood policylanguageFood systemsoperationalizationBusiness050203 business & management
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Closed-loop supply chains: What reverse logistics factors influence performance?

2016

This paper analyses the inventory and order flow dynamics in closed-loop supply chains (CLSCs). In this kind of supply chains the reverse flow of materials entering the system for recycling purposes complicates the way in which inventories should be managed and replenishment policies should be designed. Specifically, we analyse the relationships between some reverse logistics’ factors (remanufacturing lead-time, return rate of recycled products, reverse order policy, and number of supply chain tiers) on the order and inventory variance amplification. We firstly perform a systematic literature review of the related studies. Secondly, by adopting a difference equation math approach and design…

Supply chain dynamicsEconomics and EconometricEconomics and EconometricsBullwhip effectOperations researchSupply chainCeteris paribusSupply chain dynamic0211 other engineering and technologies02 engineering and technologyReverse logisticsManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringOrder (exchange)Bullwhip effect0502 economics and businessEconomicsBusiness Management and Accounting (all)Operations managementRemanufacturing021103 operations researchSupply chain managementSystematic literature review05 social sciencesVariance (accounting)Settore ING-IND/35 - Ingegneria Economico-GestionaleGeneral Business Management and AccountingRemanufacturing lead timeReverse logisticReverse logisticsSimulation050203 business & managementInternational Journal of Production Economics
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Fusing storage and computing for the domain of business intelligence and analytics: research opportunities

2015

With the growing importance of external and shared data, the set of requirements for Business Intelligence and Analytics (BIA) is shifting. Current solutions still come with shortcomings, esp. In multi-stakeholder environments where sensitive content is exchanged. We argue that a new level in the evolution of BIA can be unlocked by tearing down the barriers between storage and computing based on upcoming storage technologies. In particular, we propose a revitalization of ideas from object-oriented databases. We present results from a joint project that aimed at delineating design options for BIA solutions built upon this idea. The paper outlines the interplay of various architectural layers…

Supply chain managementCompetitive intelligenceComputer sciencebusiness.industryObject-oriented databasesCloud computingStorage managementData scienceData modelingDomain (software engineering)Business intelligenceBases de dades orientades a objectesAnalyticsBusiness intelligenceCompetitive intelligenceBusiness logicbusiness:Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]Intel·ligència competitiva
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Capacity constrained supply chains: a simulation study

2008

This paper explores the relationship between constrained capacity and supply chain performance. Six capacity constraint levels are studied under different inventory policies and information sharing strategies. The results suggest that an increment of production capacity, used in industry as local approach to manage increasing incoming orders, does not necessarily imply an improvement in customer service. In presence of information distortions, the strategy of augmenting production capacity can lead to satisfy at a higher cost an over-estimated market demand. The collaborative practices provide bullwhip effect dampening and inventory stability, and increase the ability of the structure to av…

Supply chain managementComputer scienceApplied MathematicsInformation sharingSupply chainStability (learning theory)Environmental economicsComputer Science ApplicationsSupply and demandMicroeconomicsModeling and SimulationBullwhip effectProduction (economics)Constraint (mathematics)International Journal of Simulation and Process Modelling
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Editorial – Preface to the Special Issue on Numerical Techniques Meet with OR

2021

Abstract This special issue of the Foundations of Computing and Decision Sciences, titled ”Numerical Techniques Meet with OR”, is devoted to the numerical techniques and their applications in real-world phenomena. The special issue and its editorial present numerical algorithms as they meet with different research topics such as, e.g., from operational research, supply chain management, geometrical structures and Covid-19 effects on financial applications. Besides, the special issue covers instructional information about numerical techniques which are useful for OR research problems and real-world applications on such issues.

Supply chain managementCoronavirus disease 2019 (COVID-19)Computer scienceManagement scienceElectronic computers. Computer science020209 energy0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingQA75.5-76.9502 engineering and technologyFoundations of Computing and Decision Sciences
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