자료유형  

 학위논문

Control Number  

0016932753

International Standard Book Number  

9798379843717

Dewey Decimal Classification Number  

630

Main Entry-Personal Name  

Munoz, Francisco.

Publication, Distribution, etc. (Imprint  

[S.l.] : Purdue University., 2022

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2022

Physical Description  

1 online resource(118 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

General Note  

Advisor: Lee, Seokcheon.

Dissertation Note  

Thesis (Ph.D.)--Purdue University, 2022.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Managing agri-food supply systems (AFSS) is a complex task due to all the factors that are typically present in these systems, for example, perishability, long lead time from cultivation to consumption, seasonality, weather and yield uncertainty, fragmented structure of the industry, high demand- and price variability, contamination concerns, fragility, and high weight-to-value ratios. This research focuses specifically on crop-based perishable AFSS systems with independent farmers for which it is difficult to coordinate cultivation activities with upstream operations of the supply chain, and where it is not possible to decouple processing or distribution from harvesting operations by building on-farm inventory after harvest. Two main industries are considered as case studies: sugarcane and vegetables for the fresh market. In the sugarcane industry, two main problems are addressed in this research, the farms clustering and harvest sequencing problem, and the truck release control problem. The first problem is modeled as a bi-objective non-linear program that aims to maximize sugar output and minimize the maximum cluster diameter when clustering farms for harvesting, and a heuristic algorithm is developed to find a good set of non-dominated solutions. For the second problem, a stochastic model is developed to determine the optimal number of trucks to be released into the sugarcane harvest system considering randomness in key inputs. Finally, the third problem deals with the development of a demand and capacity sharing protocol to support horizontal collaboration among private distribution networks in the fresh vegetables industry based on a real-time truck-sharing system for the long-haul transport stage. The effectiveness of the protocol is tested by simulating its implementation to a collaborative network of six distributors, and the results show significant improvement in delivery times, long-haul transport costs, and total traveled distance.

Subject Added Entry-Topical Term  

Agricultural production.

Subject Added Entry-Topical Term  

Food.

Subject Added Entry-Topical Term  

Trucks.

Subject Added Entry-Topical Term  

Crops.

Subject Added Entry-Topical Term  

Energy consumption.

Subject Added Entry-Topical Term  

Visualization.

Subject Added Entry-Topical Term  

Gantt charts.

Subject Added Entry-Topical Term  

Agriculture.

Subject Added Entry-Topical Term  

Farmers.

Subject Added Entry-Topical Term  

Geography.

Subject Added Entry-Topical Term  

Farms.

Subject Added Entry-Topical Term  

Taxonomy.

Subject Added Entry-Topical Term  

Travel.

Subject Added Entry-Topical Term  

Stochastic models.

Subject Added Entry-Topical Term  

Harvest.

Subject Added Entry-Topical Term  

Agronomy.

Subject Added Entry-Topical Term  

Energy.

Added Entry-Corporate Name  

Purdue University.

Host Item Entry  

Dissertations Abstracts International. 85-01B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643760