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Pareek, Sarla
- Supply Chain Integration in Vendor Managed Inventory
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Authors
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1 IILM Gurgaon, Haryana, IN
2 DST, CMS .Banasthali University (Raj.)
1 IILM Gurgaon, Haryana, IN
2 DST, CMS .Banasthali University (Raj.)
Source
Journal of Supply Chain Management Systems, Vol 1, No 2 (2012), Pagination: 56-64Abstract
This paper tries to find-out variations within different parameters of any industry's supply chain. It shows impact on cost savings which can be analyzed by different approaches followed these days like Vendor managed Inventory (VMI), Just in time (JIT), synchronized VMI, etc. Outcome of this analytical paper describes that VMI may benefit the supplier and buyer both even when the supplier imposes some transportation cost upon the buyer. The demand is increasing function of time if they share the information on time with each other, with appropriate predefined trading conditions like, How much will be the ordering cost?, What will be the transportation cost policy?, What will be the ratio of profit distribution if they agree for these terms etc?Keywords
Vender Managed Inventory (VMI), Just in Time(JIT), Supply Chain Integration, Information Sharing, EDI (Electronic-Data-interchange), Third Party LogisticsReferences
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- Cetinkaya, S & Lee, C.Y (2000), Stock replenishment and shipment scheduling for vendor-managed inventory systems, management science, 46 (2), 217-232.
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- Optimal Allocation of Resources in Smallholder Agriculture by Means of Goal Programming: Application in North Bihar
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Authors
Affiliations
1 Center for Mathematical Sciences, Banasthali University, Banasthali, Rajasthan-304022, IN
2 L. N. Mishra College of Business Management, Muzaffarpur Muzaffarpur-842001,, IN
1 Center for Mathematical Sciences, Banasthali University, Banasthali, Rajasthan-304022, IN
2 L. N. Mishra College of Business Management, Muzaffarpur Muzaffarpur-842001,, IN
Source
Research Journal of Science and Technology, Vol 5, No 1 (2013), Pagination: 72-76Abstract
This paper presents a goal programming (GP) approach for optimal crop combination under limited land resource for smallholder farmers of north Bihar. The main objective of this paper is to developed, apply and evaluate goal programming model that aims at achieving multiple goals of the smallholders. Three basic goals of the smallholders considered in the study were: providing food for the family throughout the year, accumulating monetary income and ensuring minimum use of hired labour (by efficient utilization of family labour). Primary data were collected, during the 2010 -farming season, from two hundred and sixty smallholder farmers who were selected through multi-stage sampling technique from north Bihar of India. Descriptive statistics were used to describe the socio-economic characteristics of the smallholders. More specifically, weighted and lexicographic goal programming techniques were employed to determine optimal crop combination .Twenty five crop combinations were simultaneously entered into WGP and LGP model. Out of which seven crop combinations were found to be optimal one as they were satisfying all the above mentioned goals of the smallholders. These crop combinations were Wheat/Potato, Wheat/maize/Potato, Wheat/Pulses/Potato, Wheat/Maize/Pulses/Potato, Wheat/Maize/Pulses/Tilhan, maize/Pulses/Potato, Maize/Potato/Tilhan.Keywords
Agriculture, Smallholders, Resource Allocation, Weighted Goal Programming, Lexicographic Goal Programming.References
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