Framework and Sensitivity Analysis of Joint Energy and Maintenance Planning Considering Production Throughput Requirements

Abstract

As the U.S. manufacturing sector becomes more and more competitive, manufactures are seeking to adopt more cost and resource efficient operation practices. Several research studies that optimize production, maintenance, and energy have been conducted. However, research integrating them all in one model is less developed. In this paper, we present a framework on joint maintenance and energy planning while considering production throughput target and buffer constraints. The problem considers a Time-of-Use (TOU) demand response program such that the cost of production, energy, and maintenance is reduced. A sensitivity analysis considering the effect of production system parameters, such as machine rated power, machine production rate, number of maintenance crew resources, etc., on the cost per part is conducted. In addition, the sensitivity due to varying the individual unit costs incurred from production throughput, power demand, and maintenance is investigated. This study can guide manufacturers and researchers in determining the value of using such joint methods. Furthermore, the sensitivity analysis considering joint energy and maintenance can aid manufacturers and researchers in data acquisition so that the most sensitive parameters are given priority, help identify which controllable parameters have the largest impact on the system performance; and determine which parameters are most impactful.

Meeting Name

ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 (2017: Jun. 4-8, Los Angeles, CA)

Department(s)

Engineering Management and Systems Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Cost Benefit Analysis; Costs; Data Acquisition; Maintenance; Manufacture; Sensitivity Analysis

International Standard Book Number (ISBN)

978-079185074-9

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 American Society for Engineering Management (ASME), All rights reserved.

Publication Date

01 Jun 2017

Link to Full Text

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