704 resultados para Supply Chain Management (SCM)


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This chapter investigates the resistance by institutional actors in ambiguous supply chain environments for online grocery provision. Recent studies have shown that significant shifts in urban geographies are increasing consumers' expectations of online retail provision. However, at the same time there is also growing evidence that the collaborative practice in online grocery provision within the urban supply chains is resisted. That these trends are found despite growing demand of online provision highlights both the difficulty of bringing geographically dispersed supply partners together and the problems associated with operating within and across ambiguous environments. Drawing upon twenty-nine in-depth interviews with a range of institutional actors, including retail, logistics, and urban planning experts within an urban metropolis in an emerging market, we detail the different ways that collaboration is resisted in online retail provision. Several different patterns of resistance were identified in (non-) collaboration notably, ideological, functional, regulatory and spatial. © 2011, IGI Global. C.

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Supply chains comprise of complex processes spanning across multiple trading partners. The various operations involved generate large number of events that need to be integrated in order to enable internal and external traceability. Further, provenance of artifacts and agents involved in the supply chain operations is now a key traceability requirement. In this paper we propose a Semantic web/Linked data powered framework for the event based representation and analysis of supply chain activities governed by the EPCIS specification. We specifically show how a new EPCIS event type called "Transformation Event" can be semantically annotated using EEM - The EPCIS Event Model to generate linked data, that can be exploited for internal event based traceability in supply chains involving transformation of products. For integrating provenance with traceability, we propose a mapping from EEM to PROV-O. We exemplify our approach on an abstraction of the production processes that are part of the wine supply chain.

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A lean menedzsment az értékteremtő folyamatok stratégiai és operatív szintjének meghatározó formálójává vált az elmúlt évtizedekben. Jelen tanulmány stratégiai nézőpontból tárgyalja a lean menedzsment teljes bevezetését. Részletes áttekintést ad a Womack és Jones (2003) által lefektetett lean alapelvekről. Az operatív teljesítményjavulásból származó vevői értékteremtés mellett foglalkozik a tulajdonosi értékteremtéssel, az MRP és a lean szinergikus összekapcsolásával, valamint a lean ideális szervezeti környezetével is. A lean a kapcsolódó területek illesztését is megköveteli, a műhelytanulmány röviden kitér az emberi erőforrás, a teljesítménymérés, az ellátási lánc és a termékfejlesztés legfontosabb kérdéseire. = Lean management has become the dominant strategic and operative framework of value creating processes in the last decades. The working paper describes the strategic approach of full lean implementation. It is mainly built on Womack and Jones’s (2003) lean principles. Beside the five lean principles the study is concerned with customer and shareholder value creation, touches upon the relationship of lean and MRP, and describes ideal lean organizational environment. Lean redesigns value creating processes and requires functional fit of related departments, so the most important issues of human resource, performance, supply chain management and product design are discussed as well.

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Az elmúlt évtizedekben a gazdálkodástudomány kitüntetett figyelemmel kísért két - mind a makrogazdaság, mind az egyes vállalatok működésének sikere szempontjából meghatározó fontosságú - jelenséget, egyrészt a szolgáltatásoknak a hagyományos termeléssel szembeni egyre erőteljesebb térnyerését, másrészt a fogyasztói érték teremtése szempontjából növekvő jelentőségű ellátási láncoknak, illetve azok menedzsmentjének kérdéskörét. Ugyanakkor igen kevés elemzés, de kevés leíró jellegű munka is született a két jelenséget és menedzsment problémát összekapcsoló területről, azaz a szolgáltatások ellátási láncáról, ezen ellátási láncok kezelésének speciális problémáiról. Jelen műhelytanulmányban a szolgáltatások ellátási láncának és menedzsmentjének jellegzetességeit, a klasszikus terméket előállító ellátási láncokhoz viszonyított sajátosságait foglaltuk össze a nemzetközi szakirodalom alapján. Ennek során bemutattuk, hogy az ún. tiszta szolgáltatások széles körben ismert jellemzői hatással vannak a szolgáltatások előállítását és értékesítését végző ellátási láncok működésére is. Ezek a hatások és a specialitások megjelennek az ellátási lánc menedzsment irodalomban megjelenő mindhárom problémakörre, rányomják tehát bélyegüket mind az ellátási lánc felépítésére, struktúrájára, mind az ellátási láncban együttműködő partnerek kapcsolatának = In the last decades scholars have paid a lot of attention to both service operation and supply chain management. There is still limited research on the overlapping field of theses two management areas, on service supply chain specialties. This working paper gives a structured overview on the latest research results published in English. Doing so the paper would like to draw attention of the Hungarian researchers to this field and facilitate these empirical researches. As described in the paper traditional service specialties (intangibility, perishability, inseparability, heterogeneity and the importance of human capital) create special management problems concerning (i) the structure of these supply chains, (ii) their relationship management and (iii) the management of supply chain processes.

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Az elmúlt két évtized folyamán a menedzserek megtanultak a megújult szabályok szerint játszani. Tudatosították, hogy a vállalatuk eredményes navigálásához folyamatosan figyelniük és adaptálniuk kell a legújabb módszereket, elméleteket. Jelen tanulmányával a szerző ezt a folyamatot kívánja segíteni, valamint arra az alapvető kérdésre keresi a választ, hogy érdemes-e a rendkívül gyorsan változó világban hosszabb távú célok meghatározásával foglalkozni, és ha igen, akkor mire összpontosítsák a vállalatok erőfeszítéseiket. Milyen részletezettséggel, milyen módon határozzák meg az elképzeléseiket úgy, hogy közben megőrizzék a vállalat flexibilitását, a változások idején nélkülözhetetlen agilitást. A szerző arra vállalkozik, hogy feltárja a stratégiai paradigmaváltás fejlődését, a termelési stratégia, az operations management központi meghatározó szereppé válását, valamint áttekintse a termelési és szolgáltatási rendszervezetés (OM) elveinek, eszközeinek, módszereinek fejlődését, kölcsönhatását, összefüggéseit. _______ Change of paradigm has taken place in strategic planning. Fight for position turned into a fight of movement. Companies strive to achieve individual, not copyable organizational performance, as well as to realize their business strategies by means of value generating, proactive approach. Operative management now placed in the focus of production strategy is becoming the compass, the driving force of leadership. The management of production and service systems has grown into independent scientific disciplines. It yielded such principles, tools and methods which are present as world-renowned blueprints (scientific tools) in the field of maintaining and developing corporate performance. In the present study the author specifies and discusses the tools of operative management as criteria of value generation aiming at quality and cost efficiency. He analyses the backto- back character, interrelationship of quality, TQM (Total Quality Management), TPS (Toyota Production System) and JIT (Just in Time). He examines the effects thereof on corporate performance where significant and strong relationship can be demonstrated in case there is an ability to plan and develop new products. The current new OM (Operations Management) techniques increasingly rely upon the quality of human resources, the permanent improvement of procedures as well as focusing on tight cooperation with suppliers/customers. Supply chain management, core competence management, service management now represent a “new generation” of the OM methods, processes, serving at the same time as basis and starting point for expectable future techniques as well.

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Supply chain operations directly affect service levels. Decision on amendment of facilities is generally decided based on overall cost, leaving out the efficiency of each unit. Decomposing the supply chain superstructure, efficiency analysis of the facilities (warehouses or distribution centers) that serve customers can be easily implemented. With the proposed algorithm, the selection of a facility is based on service level maximization and not just cost minimization as this analysis filters all the feasible solutions utilizing Data Envelopment Analysis (DEA) technique. Through multiple iterations, solutions are filtered via DEA and only the efficient ones are selected leading to cost minimization. In this work, the problem of optimal supply chain networks design is addressed based on a DEA based algorithm. A Branch and Efficiency (B&E) algorithm is deployed for the solution of this problem. Based on this DEA approach, each solution (potentially installed warehouse, plant etc) is treated as a Decision Making Unit, thus is characterized by inputs and outputs. The algorithm through additional constraints named “efficiency cuts”, selects only efficient solutions providing better objective function values. The applicability of the proposed algorithm is demonstrated through illustrative examples.

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Service supply chain (SSC) has attracted more and more attention from academia and industry. Although there exists extensive product-based supply chain management models and methods, they are not applicable to the SSC as the differences between service and product. Besides, the existing supply chain management models and methods possess some common deficiencies. Because of the above reasons, this paper develops a novel value-oriented model for the management of SSC using the modeling methods of E3-value and Use Case Maps (UCMs). This model can not only resolve the problems of applicability and effectiveness of the existing supply chain management models and methods, but also answer the questions of ‘why the management model is this?’ and ‘how to quantify the potential profitability of the supply chains?’. Meanwhile, the service business processes of SSC system can be established using its logic procedure. In addition, the model can also determine the value and benefits distribution of the entire service value chain and optimize the operations management performance of the service supply.

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This research paper focuses on the self-declared initiatives of the four largest chocolate companies to tackle social problems within the context of establishing a sustainable supply chain. After the literature review of sustainability, supply chain management, and cocoa farming, this paper gives an assessment of the extant practices of the chocolatiers and makes a comparative analysis based on Corporate Social Responsibility (CSR) and Sustainability Reports. This paper uses a case study approach based on secondary-data. A roadmap and benchmarking of social sustainability initiatives were conducted for the supply chain management activities of the world's four largest chocolatiers. This paper analyses the extant sustainability practices of the chocolatiers and offers a model framework for comparison of the measures taken. This paper is based on self-declared secondary data. There is a chance that some practices were not documented by the case companies; or that companies claim what they don't actually do. This paper provides a framework for agricultural businesses to compare their sustainability efforts and improve the performance of their supply chains. Originality and value of this research reside in terms of both literature and methodology. The framework for analysing the social sustainability aspects of agricultural supply chains is original and gives an up-to-date view of sustainability practices. The use of secondary data to compare self-declared initiatives is also a novel approach to business sustainability research.

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Strategic supply chain optimization (SCO) problems are often modelled as a two-stage optimization problem, in which the first-stage variables represent decisions on the development of the supply chain and the second-stage variables represent decisions on the operations of the supply chain. When uncertainty is explicitly considered, the problem becomes an intractable infinite-dimensional optimization problem, which is usually solved approximately via a scenario or a robust approach. This paper proposes a novel synergy of the scenario and robust approaches for strategic SCO under uncertainty. Two formulations are developed, namely, naïve robust scenario formulation and affinely adjustable robust scenario formulation. It is shown that both formulations can be reformulated into tractable deterministic optimization problems if the uncertainty is bounded with the infinity-norm, and the uncertain equality constraints can be reformulated into deterministic constraints without assumption of the uncertainty region. Case studies of a classical farm planning problem and an energy and bioproduct SCO problem demonstrate the advantages of the proposed formulations over the classical scenario formulation. The proposed formulations not only can generate solutions with guaranteed feasibility or indicate infeasibility of a problem, but also can achieve optimal expected economic performance with smaller numbers of scenarios.

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This paper is concerned with strategic optimization of a typical industrial chemical supply chain, which involves a material purchase and transportation network, several manufacturing plants with on-site material and product inventories, a product transportation network and several regional markets. In order to address large uncertainties in customer demands at the different regional markets, a novel robust scenario formulation, which has been developed by the authors recently, is tailored and applied for the strategic optimization. Case study results show that the robust scenario formulation works well for this real industrial supply chain system, and it outperforms the deterministic formulation and the classical scenario-based stochastic programming formulation by generating better expected economic performance and solutions that are guaranteed to be feasible for all uncertainty realizations. The robust scenario problem exhibits a decomposable structure that can be taken advantage of by Benders decomposition for efficient solution, so the application of Benders decomposition to the solution of the strategic optimization is also discussed. The case study results show that Benders decomposition can reduce the solution time by almost an order of magnitude when the number of scenarios in the problem is large.

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Major food adulteration and contamination events occur with alarming regularity and are known to be episodic, with the question being not if but when another large-scale food safety/integrity incident will occur. Indeed, the challenges of maintaining food security are now internationally recognised. The ever increasing scale and complexity of food supply networks can lead to them becoming significantly more vulnerable to fraud and contamination, and potentially dysfunctional. This can make the task of deciding which analytical methods are more suitable to collect and analyse (bio)chemical data within complex food supply chains, at targeted points of vulnerability, that much more challenging. It is evident that those working within and associated with the food industry are seeking rapid, user-friendly methods to detect food fraud and contamination, and rapid/high-throughput screening methods for the analysis of food in general. In addition to being robust and reproducible, these methods should be portable and ideally handheld and/or remote sensor devices, that can be taken to or be positioned on/at-line at points of vulnerability along complex food supply networks and require a minimum amount of background training to acquire information rich data rapidly (ergo point-and-shoot). Here we briefly discuss a range of spectrometry and spectroscopy based approaches, many of which are commercially available, as well as other methods currently under development. We discuss a future perspective of how this range of detection methods in the growing sensor portfolio, along with developments in computational and information sciences such as predictive computing and the Internet of Things, will together form systems- and technology-based approaches that significantly reduce the areas of vulnerability to food crime within food supply chains. As food fraud is a problem of systems and therefore requires systems level solutions and thinking.

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Purpose: There is a need for theory development within the field of humanitarian logistics to understand logistics needs in different stages of a crisis and how to meet these. This paper aims to discuss three dimensions identified in logistics and organization theories and how they relate to three different cases of humanitarian logistics operations - the regional concept of the International Federation of Red Cross Red Crescent Societies, the development and working of the United Nations Joint Logistics Centre and coordination challenges of military logistics in UN mandated peacekeeping operations. The purpose is to build a framework to be used in further studies. Design/methodology/approach: A framework for the study of humanitarian logistics along three dimensions is developed, followed by a discussion of the chosen cases in relation to these dimensions. The framework will be used as basis for the case studies to be undertaken for the purpose of understanding and identification of new questions and needs for other or revised concepts from theory. Findings: The paper shows the relevance of a wide literature to the issues pertinent to humanitarian logistics. There is considerable promise in extant literature on logistics, SCM and coordination, but this needs to be confronted with the particular issues seen in the humanitarian logistics setting to achieve further theory development. Originality/value: The major contribution of the paper lies in its breadth of theoretical perspectives presented and combined in a preliminary theoretical framework. This is applied more specifically in the three case studies described in the paper.

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Leafy greens are essential part of a healthy diet. Because of their health benefits, production and consumption of leafy greens has increased considerably in the U.S. in the last few decades. However, leafy greens are also associated with a large number of foodborne disease outbreaks in the last few years. The overall goal of this dissertation was to use the current knowledge of predictive models and available data to understand the growth, survival, and death of enteric pathogens in leafy greens at pre- and post-harvest levels. Temperature plays a major role in the growth and death of bacteria in foods. A growth-death model was developed for Salmonella and Listeria monocytogenes in leafy greens for varying temperature conditions typically encountered during supply chain. The developed growth-death models were validated using experimental dynamic time-temperature profiles available in the literature. Furthermore, these growth-death models for Salmonella and Listeria monocytogenes and a similar model for E. coli O157:H7 were used to predict the growth of these pathogens in leafy greens during transportation without temperature control. Refrigeration of leafy greens meets the purposes of increasing their shelf-life and mitigating the bacterial growth, but at the same time, storage of foods at lower temperature increases the storage cost. Nonlinear programming was used to optimize the storage temperature of leafy greens during supply chain while minimizing the storage cost and maintaining the desired levels of sensory quality and microbial safety. Most of the outbreaks associated with consumption of leafy greens contaminated with E. coli O157:H7 have occurred during July-November in the U.S. A dynamic system model consisting of subsystems and inputs (soil, irrigation, cattle, wildlife, and rainfall) simulating a farm in a major leafy greens producing area in California was developed. The model was simulated incorporating the events of planting, irrigation, harvesting, ground preparation for the new crop, contamination of soil and plants, and survival of E. coli O157:H7. The predictions of this system model are in agreement with the seasonality of outbreaks. This dissertation utilized the growth, survival, and death models of enteric pathogens in leafy greens during production and supply chain.

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Feed production, swine and slaughterhouses were already reported as occupational environments with high fungal contamination. This condition can ultimately lead to the development of several health conditions. This study aimed to characterize the occupational exposure to fungal burden in three different settings: swine feed unit, swine units and slaughterhouse.