Supply Chain Reengineering in Agri-Business

Anupindi, Ravi; Sivakumar, Sandeep

doi:10.1007/978-0-387-38429-0_12

Cited by 30 publications

(32 citation statements)

References 1 publication

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“…A better circulation of information is made possible in facilitating scale economy in the production areas, which will not only increase the diversity of agricultural products but also reduce logistic costs, such as costs of circulation, communication, search and travel (Chen, 2011;Streeter et al, 1991). Second, produce quality could be improved (Chen et al, 2014;van der Vorst et al, 2011), and quality uncertainties could be reduced due to the reason that producers are trying to meet the need of demanders (Anupindi and Sivakumar, 2007). Third, information sharing could help enhance the production management and thus reduce the level of prices and price dispersion (Anupindi and Sivakumar, 2007;Goyal, 2010).…”

Section: The Yimin Information Centermentioning

confidence: 98%

“…First, a number of logistic costs could be reduced, such as transaction time and costs (Anupindi and Sivakumar, 2007;Goyal, 2010;. A better circulation of information is made possible in facilitating scale economy in the production areas, which will not only increase the diversity of agricultural products but also reduce logistic costs, such as costs of circulation, communication, search and travel (Chen, 2011;Streeter et al, 1991).…”

Section: The Yimin Information Centermentioning

confidence: 99%

“…Information, financial and material flows are three important ones in a supply chain (Goyal, 2010;Lee and Whang, 2000), including market or real-time prices (Eggleston et al, 2002;Mittal, 2001), production levels (Anupindi and Sivakumar, 2007), consumption levels (Kinsey, 2000) or demand indicators (Mittal and Tripathi, 2009), demand of retailers , and logistical information (Mittal, 2001), such as ''inventory levels, sales data, demand forecast and capacity information, order status for tracking/tracing, and production delivery schedule, performance metrics (product quality data, lead times, queuing delays at workstation and service performance)'' (Lee and Whang, 2000). In addition, environmental and weather information such as soil conditions, climate change, temperature and humidity can also be shared to farmers (Eggleston et al, 2002;van der Vorst et al, 2011).…”

Section: Information Needs and Sharing Strategiesmentioning

confidence: 99%

See 2 more Smart Citations

Information empowers vegetable supply chain: A study of information needs and sharing strategies among farmers and vendors

Zhong

Yang

Chen

2015

Computers and Electronics in Agriculture

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Section: The Yimin Information Centermentioning

confidence: 98%

Section: The Yimin Information Centermentioning

confidence: 99%

Section: Information Needs and Sharing Strategiesmentioning

confidence: 99%

See 1 more Smart Citation

Information empowers vegetable supply chain: A study of information needs and sharing strategies among farmers and vendors

Zhong

Yang

Chen

2015

Computers and Electronics in Agriculture

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“…As a result, overtime these practices have served as a disincentive for farmers to invest and produce higher and good quality outputs. The advent of e-procurement will address such concerns by giving farmers an option to sell their produce directly to the higher level of procurement chain and to diminish the impact of the local first level of procurement middlemen [14]. This research work has developed a secure integrated end-to-end e-procurement system that reduced information asymmetry and makes agro-business more profitable by lowering transaction costs and improving agricultural practices.…”

Section: Introductionmentioning

confidence: 99%

Development of an Integrated End-To-End Electronic Procurement Management System for Agro-Business in Nigeria

Ajulo¹,

Akinyede²,

Boyinbode³

2017

IJAIS

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This research is based on developing an integrated end-to-end electronic procurement system for agro-business in Nigeria with the aim of reducing information asymmetry, making agro-business more profitable and attractive by lowering transaction costs. Qualitative findings via structured questionnaire and direct one-on-one interview were carried out among farmers, farmers associations and agro input industries. Microsoft Office Excel was used as a tool to analyze all gathered data. Pinto and Slevin procurement management model was adopted to identify the critical variable of the procurement process and an architecture was designed for the system. Mathematical model of the system was developed, since the developed system is a web based, the client-side was implemented using HTML (Hypertext Markup Language) while the server-side was implemented with Hypertext Preprocessor (PHP) and the database management system used is MySQL. The implementation was done on Intel processor core i3, 1TB Hard Disk and 8GB DDR2 RAM computer system. Functional and performance tests were carried out on the system and the test showed that the system is capable of handling multiple simultaneous users with an average response time of 0.011 to 0.015 seconds.

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“…By purchasing directly from the farmers, and not just from the local spot markets, ITC significantly improved the efficiency of the channel and created value for both the farmer and itself. The initiative has been hailed as an outstanding example of the use of ICT by a private enterprise to streamline supply chains, alleviate poverty, and bring about social transformation (Prahalad 2005, Anupindi andSivakumar 2007).…”

Section: Introductionmentioning

confidence: 99%

Integrated Optimization of Procurement, Processing, and Trade of Commodities

Devalkar

Anupindi

Sinha

2011

Operations Research

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We consider the integrated optimization problem of procurement, processing, and trade of commodities in a multiperiod setting. Motivated by the operations of a prominent commodity processing firm, we model a firm that procures an input commodity and has processing capacity to convert the input into a processed commodity. The processed commodity is sold using forward contracts, while the input itself can be traded at the end of the horizon. We solve this problem optimally and derive closed-form expressions for the marginal value of input and output inventory. We find that the optimal procurement and processing decisions are governed by price-dependent inventory thresholds. We use commodity markets data for the soybean complex to conduct numerical studies and find that approximating the joint price processes of multiple output commodities using a single, composite output product and using the approximate price process to determine procurement and processing decisions is near optimal. Compared to a myopic spread-option-based heuristic, the optimization-based dynamic programming policy provides significant benefits under conditions of tight processing capacities and high price volatilities. Finally, we propose an approximation procedure to compute heuristic policies and an upper bound to compare the heuristic against, when commodity prices follow multifactor processes.

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Supply Chain Reengineering in Agri-Business

Cited by 30 publications

References 1 publication

Information empowers vegetable supply chain: A study of information needs and sharing strategies among farmers and vendors

Information empowers vegetable supply chain: A study of information needs and sharing strategies among farmers and vendors

Development of an Integrated End-To-End Electronic Procurement Management System for Agro-Business in Nigeria

Integrated Optimization of Procurement, Processing, and Trade of Commodities

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