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Planning and optimization for logist...

Chung, Hong Kyoon.

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Planning and optimization for logistics management in the food industry.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Planning and optimization for logistics management in the food industry./
Author:	Chung, Hong Kyoon.
Description:	335 p.
Notes:	Source: Dissertation Abstracts International, Volume: 52-05, Section: B, page: 2367.
Contained By:	Dissertation Abstracts International52-05B.
Subject:	Agriculture, Food Science and Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9124660

Planning and optimization for logistics management in the food industry.
Chung, Hong Kyoon.

Planning and optimization for logistics management in the food industry. - 335 p.

Source: Dissertation Abstracts International, Volume: 52-05, Section: B, page: 2367.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 1991.

Food manufacturers' distinct characteristics relevant to logistics operations led to explore the development of a planning framework suitable for food logistics management and to solve vehicle routing problems in food distribution. Matrix theory and mathematical optimization are proposed as useful bases for developing the framework integrating the flows of materials and information. An example of a hypothetical dairy processor's Cheddar and process cheese plants was used to illustrate and validate the potential use of the framework in food industry logistics management.Subjects--Topical Terms:

1017813
Agriculture, Food Science and Technology.

Planning and optimization for logistics management in the food industry.
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100 1 $a Chung, Hong Kyoon. $3 1937041
245 1 0 $a Planning and optimization for logistics management in the food industry.
300 $a 335 p.
500 $a Source: Dissertation Abstracts International, Volume: 52-05, Section: B, page: 2367.
500 $a Supervisor: John P. Norback.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 1991.
520 $a Food manufacturers' distinct characteristics relevant to logistics operations led to explore the development of a planning framework suitable for food logistics management and to solve vehicle routing problems in food distribution. Matrix theory and mathematical optimization are proposed as useful bases for developing the framework integrating the flows of materials and information. An example of a hypothetical dairy processor's Cheddar and process cheese plants was used to illustrate and validate the potential use of the framework in food industry logistics management.
520 $a Cheese formulations optimized through linear and nonlinear programming were incorporated into bill of materials (BOM) matrices. In multi-staged, multi-product manufacturing processes, gozinto procedure effectively creates the BOM matrix. The BOM matrix flexibly organizes direct and indirect relationships of resources to multiple products in various unit measures, and shows how the products compete with one another for common resources in each stage of the manufacturing process. Matrix data structures provide an efficient tool to organize data, obtain desired planning information, evaluate the changes in the information and their impacts on logistics operations, and support management decisions.
520 $a Batching is a common practice in the food industries for economic or technological reasons. In multi-staged batch processes manufacturing several products, decisions on how many batches to be produced and whether to produce whole or partial batches with variations in production targets are complex, and have important manufacturing and economic consequences. While product/batch mix decisions under whole batching policies were optimized using mixed integer programming, a penalty approach optimized a product/batch mix when partial batching is allowed.
520 $a Daily delivery of small volumes of perishables to a large number of customers with low margins makes foodservice vehicle routing problems unique. Revised heuristic routing procedures improved the solutions of previous approach in terms of delivery costs, averaging 5.6% per day of a region, mainly by reduction in the number of routes. A generalized convex combination of delivery points solved the natural boundary routing problem by determining the geographic status of stops. These approaches were incorporated into an integrated, interactive computer-based system.
590 $a School code: 0262.
650 4 $a Agriculture, Food Science and Technology. $3 1017813
650 4 $a Business Administration, Management. $3 626628
690 $a 0359
690 $a 0454
710 2 0 $a The University of Wisconsin - Madison. $3 626640
773 0 $t Dissertation Abstracts International $g 52-05B.
790 1 0 $a Norback, John P., $e advisor
790 $a 0262
791 $a Ph.D.
792 $a 1991
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9124660