Value and Uncertainty of Information—Supply Chain Challenges for Producers and End Users

GEOValue ◽  
2017 ◽  
pp. 65-84 ◽  
Author(s):  
Lesley Arnold
Keyword(s):  
Supply Chain ◽  
End Users ◽  
Information Supply Chain

Ten conversations about identity preservation

2004 ◽  
Vol 4 (2) ◽  
pp. 111-123 ◽  
Author(s):  
Peter Goldsmith ◽  
Karen Bender
Keyword(s):  
Supply Chain ◽  
Life Science ◽  
Food System ◽  
Risk Mitigation ◽  
End Users ◽  
End User ◽  
Organizational Models ◽  
Identity Preservation ◽  
Needs Assessments ◽  
Current Risk

Dynamics in the global food system, along with a cascade of technologies, drive demands for capturing information and sharing information vertically within the supply chain. Food safety, genetic engineering, and animal welfare all have contributed to the need for enhanced information flow within the supply chain. Identity preservation in grains and oilseeds is an emerging issue that may influence the structure of agriculture in the longer term. This research addresses the following questions. While demand for high-information grains appears to be growing, where and how along the supply chain is the value created and captured? Though it appears that the economy demands ever-increasing amounts of differentiation, why do opportunities for producers and life science companies to create and capture significant new sources of value remain elusive? To answer these questions needs assessments were conducted with grain procurement executives. Their responses reveal the "buyer's calculus" where buyers balance investment in specific relationship assets with the market uplift or risk mitigation return it generates. Buying from a competitively structured industry has numerous benefits. There is a "cost" or tradeoff leaving the spot market procurement model in favor of a relationship-based model; hence the calculus. The current equilibrium state reflects the current risk-adjusted value proposition suppliers deliver to end users. Though end-user benefits are on the horizon with the next generation of biotechnologies, their emergence is insufficient to guarantee farmers and life science greater returns. End users will always balance the risk mitigation and market uplift features of a supply offering with the risks of narrowing their supply base. To drive value up the chain, suppliers need to shift away from focusing solely on the products of the future and focus on the technologies, delivery systems, and organizational models that, when bundled with new products solve problems and make end users more competitive.

Concepts for Sustainable End Consumer Movements in City Supply Chains

2016 ◽  
pp. 107-127
Author(s):  
Oana Stefana Mitrea ◽  
Kyandoghere Kyamakya
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
End Users ◽  
Supply Chain Networks ◽  
Modern Cities ◽  
The Social ◽  
Private Citizens ◽  
Shopping Trips ◽  
Consumer Movements

Traffic chaos, stress, congestion, environmental pollution, as well as the social problems resulting from the uncoordinated shopping trips of private citizens and companies and online deliveries represent key problems of the modern cities. In our opinion, their solving requires an intelligent coordination of the end-consumer supply-chain-related actions and movements, which should be based on mutual visibility, self-organization, and cooperation of the involved actors. This chapter presents and comments from a sustainability perspective several IT concepts that can optimize the modern ECM (end-consumer movements) related logistics. They rely on the intelligent coordination of end-consumers demands (ranging from short-term to long-term), the resulting reduction of supply-chain-related traffic, and the networking of social resources involved in such city supply chains. The focus is placed on the creation of multidimensional synergies among the involved actors on all scales and the support of the participative supply-chain networks, which are driven by end-users.

Research on Service Modes of Steel Processing and Distribution Centers in China

2013 ◽  
Vol 671-674 ◽  
pp. 3020-3027
Author(s):  
Gui Rong Liu ◽  
Jun Liu
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Service Level ◽  
End Users ◽  
Distribution Centers ◽  
Iron And Steel ◽  
Logistics Service ◽  
Market Situation ◽  
Steel Processing ◽  
Service Mode

Steel processing and distribution centers in China have been constructed by iron and steel enterprises, by warehousing enterprises, by steel circulation enterprises, or by end users. These centers connect steel mills with end users, which’s logistics service level affects the competitive advantages of steel supply-chain. So their common characters, problems and development tendency are analyzed in this paper. Based on this analysis, three service modes with cases are proposed, such as integrated logistics service mode, comprehensive logistics service mode, integrated value chain logistics service mode. Which one mode has been adopted, these centers should take some measures to improve service level and reduce costs. Four measures are put forward for these centers, respectively mastering the dynamic market situation, designing market oriented service mechanism, optimizing the supply chain, re-engineering business process.

Optimization and Performance Evaluation of an Integrated Production-Distribution Plan in Supply Chains

2009 ◽  
Author(s):  
Behnam Fahimnia ◽  
Lee Luong ◽  
Romeo Marian
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
End Users ◽  
Mixed Integer ◽  
Multiple Time ◽  
Supply Network ◽  
Distribution Centers ◽  
Production Distribution ◽  
And Performance ◽  
The Right

Supply Chain Management is the process of integrating and utilizing suppliers, manufacturers, distribution centers, and retailers; so that products are produced and delivered to the end-users at the right quantities and at the right time, while minimizing costs and satisfying customer requirements. From this definition, a supply chain includes three sub-systems: procurement, production, and distribution. The overall performance of a supply-chain is influenced significantly by the decisions taken in its production-distribution plan. A production-distribution plan excludes the procurement activities and integrates the decisions in production, transport and warehousing as well as inventory management. Hence, one key issue in the performance evaluation of a supply network is the modeling and optimization of production-distribution plan considering its actual complexity. This paper develops a mixed integer formulation for a two-echelon supply network that expands the previously reported production-distribution models through the integration of Aggregate Production Plan and Distribution Plan as well as considering the real-world variables and constraints. A Genetic Algorithm is designed for the optimization of the developed model. The methodology will be then implemented to solve a real-life problem incorporating multiple time periods, multiple products, multiple manufacturing plants, multiple warehouses and multiple end-users. To demonstrate the capability of the approach, the validation and performance evaluation of this model will be finally studied for the presented case study.

Under the Environment of Agile Supply Chain Inventory Control Research

2014 ◽  
Vol 945-949 ◽  
pp. 3179-3182 ◽  
Author(s):  
Li Li Wang ◽  
Ting Zhang ◽  
Yue Guo
Keyword(s):  
Supply Chain ◽  
Product Information ◽  
Inventory Cost ◽  
Time Model ◽  
Inventory Costs ◽  
Agile Supply Chain ◽  
Market Situation ◽  
Control Research ◽  
Long Time ◽  
Information Supply Chain

Agile supply chain is composed of different enterprises in different areas formed. In the process of agile supply chain; each member enterprises should make a rapid reaction based on the changing market situation, the customer demand and the changing of product information. For a long time, a bottleneck in the overall performance of the supply chain is the inventory, which is only occupy a lot of money, but also affect the accuracy and timeliness of information supply chain channel. The inventory cost control model and inventory time model are built in this paper to achieve minimized inventory costs among manufacturers, distributors and retailers.

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