Value chain

About: Value chain is a research topic. Over the lifetime, 7206 publications have been published within this topic receiving 224183 citations.

Excellence in Warehouse Management: How to Minimise Costs and Maximise Value

Abstract: Introduction. Abbreviations. Acknowledgements. 1: The Role of Warehousing and Stores. Warehousing and the supply chain. Training topics. Definitions. Strategic aspects of warehousing. Customers. The value chain. Warehouse location. Modern warehouse operations. World-class warehousing. Conclusion. 2: Inventory, Stock Analysis and Classifying Products. Product classification. Demand analysis. ABC analysis. Product coding. Product handling groups. Inventory management: why hold stock? Inventory costs and service. Lead time. Demand forecasting. Inventory and statistics. How much stock should be held? Replenishment methods. Questions about inventory. 3: Stock Control. Stock inaccuracy. Continuous or periodic stock checking. Stock control. Security and preventing loss. Information security. Training topics. 4: The Warehouse and Operational Principles. Warehouse structure. Warehouse operations. Receiving. Location methods in the warehouse. Picking options. Customer orders. Methods of picking. Despatching activity. Organising for flow. 5: Equipment. Fork-lift trucks. Racking/shelving. The aisle width decision. 6: Warehouse Information Communications Technology. Importance of information. Decision-making and ICT. Improvements with ICT. Warehouse ICT applications. Systems implementation. 7: Regulations. Health and safety at work. Management of health and safety. Health and safety arrangements. Warehouse health and safety risks. Risk assessments. Fork-lift trucks: health and safety. 8: Productivity, Cost and Service. Framework for analysis. Key costs. Key productivity drivers. Basic improvements. Understanding productivity. Determining pricing and charging. Customer service. Added value. Warehouse layout. Training topics. 9: Outsourcing. Users' views of third parties and the marketplace. Selecting third parties. Training topics. 10: People Management. Company culture. Management. Work objectives and performance. Motivating people. Empowering. Teams. Communication. Managing change. Warehouse picking operatives. Training topics. 11: Developments and Trends. Supply chain impacts on stores and warehousing. Global logistics. Reverse logistics and customer returns. Risk. Roads. Legislation. Technology. People development. Political influences. The supply chain. Warehouse aims/ideals. Useful Information and Websites. Bibliography. Index.

Value chain analysis in the UK beef foodservice sector

Abstract: Purpose – The purpose of this article is to discuss the results from a UK government‐funded applied research programme on value chain analysis that examined the beef foodservice sector The demands and dynamics of this sector differ markedly from those of the supermarket, which is the dominant channel for beef produce and which forms the focus of the existing literature This is a challenging environment for the application of collaborative supply chain improvement principles because of its high level of regulatory control, power relationships and low profit margins Design/methodology/approach – This is an applied research project that was case study based and employed the value chain analysis method Empirical work was conducted over an 11‐month period and included a one‐week whole‐team study tour to Argentina Informants encompassed UK and Argentine livestock producers, an Argentine meat processor, a UK meat import operation, a UK meat processor, a UK foodservice distribution centre and two foodservice restaurants Findings – The paper concentrates on the key findings pertinent to the upstream members of the above chain It highlights specific supply chain waste elimination opportunities at both producer and processor level It also establishes valuable learning points for the UK beef industry as a whole Originality/value – This study represents the first holistic and non‐partisan study of its type within the UK beef industry This paper adds to the limited body of knowledge on supply chain management within the foodservice sector It also provides the first explanation and analysis of its kind on supply chain operations within the Argentine beef industry It quantifies the magnitude and nature of the cost advantage afforded the Argentine producer over its best practice counterpart Finally, it presents a number of reflections upon the implications of this study for the concept of best practice and also the Lean paradigm

Competing against ignorance: advantage through knowledge

Abstract: This paper describes the Value Stream Analysis Tool (VALSAT) as a rigorous analysis and decision‐making tool in the supply chain or value stream context. The tool can employ both tacit and explicit knowledge for the advantage of the supply chain in which it is used. Although the approach owes its origins to new product development in the Japanese shipbuilding industry, it can provide many advantages over traditional analysis approaches in a value stream setting. VALSAT is demonstrated from both a theoretical and practical viewpoint, the latter involving an analysis of potential improvement in the Kenyan textile industry. The tool appears to be particularly useful in focusing knowledge and so in aiding decision making where there is a complex web of supply chain inter‐relationships and especially where data are a mix of subjective and objective assessments. Additionally it creates the right environment for increased intra‐ and inter‐company co‐ordination, allowing for improvement implementation programmes.

Dynamic planning with a wireless product identification technology in food supply chains

Abstract: An innovative planning model has been developed for perishable food supply chain planning. The model maximises product values for consumers instead of merely reducing costs. The information which can be derived from RFID enabled control systems for product units (at palette or crate level) has been used to identify dynamic product quality status. Then, the information is used to optimise product allocations from manufacturers to distributors and retailers. The objective is to minimise lost value of products and maximise profits for supply chain partners. The real-time control towards value maximisation becomes possible with the real-time product quality information from RFID systems. An illustrative case has been described for simulating the dynamic planning process.