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Book ChapterDOI

The Optimization Model of Comprehensive Maintenance Plan Based on Multi Demand Service Supply Chain

28 Dec 2019-pp 1783-1802
TL;DR: The proposed integrated maintenance plan optimization model takes into consideration such constraints as service provider’s trust degree, service duration, service cost and resource tightness, and proves with cases the effectiveness of resource allocation optimization model in multiple service points.
Abstract: Aiming at maintenance service chain with multiple service point requirement, this paper proposes an integrated maintenance plan optimization model in the condition of equipment maintenance by outsourcing companies. It analyzes resource allocation under multiple service point requirement from the perspective of service providers, explores the method of reasonable allocation of service personnel and devices used for maintenance under the circumstance of maintenance by outsourcing companies while meeting the constraint of different duration in multiple service points, and builds a resource allocation optimization model in multiple service points from the viewpoint of service demand enterprise. The model takes into consideration such constraints as service provider’s trust degree, service duration, service cost and resource tightness, and proves with cases the effectiveness of resource allocation optimization model in multiple service points.
Citations
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01 Jan 2006
TL;DR: A computer-aided planning system for a maintenance business unit that serves a number of manufacturing facilities, each consisting of a set of high-precision CNC machining centers, and a newly developed decision support tool that synchronizes maintenance activities to predict maintenance start and expected finishing times, thereby leads to lower costs.
Abstract: Total productive maintenance (TPM), total maintenance assurance, preventive maintenance, reliability-centered maintenance (RCM), and many other innovative approaches to maintenance problems all aim at enhancing the effectiveness of machines to ultimately improve productivity. Each of these concepts demands a unique decision support system for maintenance resources planning, and implementing each of them requires a radical restructuring of work. Introducing computer-aided maintenance resources planning (CAMRP) system is a major challenge because the maintenance operations environment is usually traditional and unfavorable to change. This paper presents a computer-aided planning system for a maintenance business unit that serves a number of manufacturing facilities, each consisting of a set of high-precision CNC machining centers. The workforce in the maintenance business unit is responsible for preventive as well as corrective maintenance activities of all CNC machines within the different manufacturing sites. The newly developed decision support tool embodies a set of structured heuristics methods for the coordination of tasks among maintenance crews which will help conduct different maintenance activities of manufacturing units in a more synchronized way. Through what-if-analyses, the tool generates well-founded decisions for capacity planning are; synchronizes maintenance activities to predict maintenance start and expected finishing times, thereby leads to lower costs.

4 citations

Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors developed a method that allows finding a balance between a given level of readiness of vehicles and the funds allocated for its maintenance, considering the possibility of receiving group requests by companies and assesses the ability of third-party companies to service vehicles depending on their own flow of customers.
Abstract: To ensure the activity of motor transport companies, it is necessary to guarantee the required level of technical readiness of the fleet. Given the diversity of vehicle models and the territorial distribution of companies, the task of creating their own static and mobile repair units may be economically impractical. To choose a rational variant for the organization of vehicle maintenance in a region, it is necessary to develop tools that will provide both technical readiness and a given level of costs. We have developed a method that allows finding a balance between a given level of readiness of vehicles and the funds allocated for its maintenance. In contrast to the existing methodologies, our approach considers the possibility of receiving group requests by companies and assesses the ability of third-party companies to service vehicles depending on their own flow of customers. The proposed method allows considering a set of motor transport companies in the region as one system for which the most expedient variant of involvement of motor companies in the servicing process can be assessed.

1 citations

References
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Journal ArticleDOI
TL;DR: In this article, the authors investigated the production and supply network configurations that fashion-industry firms implement to remain competitive in a global context by analyzing survey data from 132 Italian fashion companies, highlighting the existence of three different clusters of companies that have identified alternative ways to organize their production and distribution networks that are aligned with their specific competitive priorities.

129 citations

Journal ArticleDOI
TL;DR: In this paper, a reliability criterion modified generator maintenance scheduling (MGMS) model is formulated with additions and modifications made to the classic GMS model, which includes modified maintenance window constraints with some newly added constraints.

76 citations

Journal ArticleDOI
TL;DR: This paper proposes a heuristic method which relies on a stage wise decomposition of the problem and on the use of joint probabilistic constraints to tackle the resource constrained project scheduling problem with uncertain activity durations.

71 citations

Journal ArticleDOI
TL;DR: This paper presents an availability optimization of an engineering system assembled in a series configuration, with redundancy of units and corrective maintenance resources as optimization parameters, using a Genetic Algorithm based on biological concepts of species evolution.

54 citations

Journal ArticleDOI
TL;DR: A new structure for security-constrained PMS associated with DR programs is suggested and a new linearized formulation of cost-and-emission-based preventive maintenance problem is presented to scrutinize the economic- and environmental-driven measures of DR programs.
Abstract: In recent years, load management (LM) programs have been contemplated as a crucial option in all energy policy decisions. Under deregulation, the scope of LM programs has been considerably expanded to include demand response (DR) programs. Here, the market-based DR programs are regarded as a virtual resource for reserve provision. Basically, demand-side reserve affects handling and controlling of power systems ranging from short-term to long-term scheduling. Preventive maintenance scheduling (PMS) of generating units is addressed as a long-term scheduling in power system studies, which is affected by DR programs. In this paper, a new structure for security-constrained PMS associated with DR programs is suggested. In order to scrutinize the economic- and environmental-driven measures of DR programs, a new linearized formulation of cost-and-emission-based preventive maintenance problem is presented. Here, the proposed framework is structured as a mixed-integer programming problem and solved using a CPLEX solver. This model would schedule reserves provided by DR providers, maintenance scheme, and commitment status of generating units. Values of energy and reserves over the scheduling time horizon are also simultaneously determined in this paper. The IEEE Reliability Test System is utilized to demonstrate the effectiveness of the proposed structure.

49 citations