Research of Scheduling Management in Warship Scheduled Repair Project

Zhou, Shi Lei; Zheng, Ying; Zhang, Jiang; Duan, Meng Qiang

doi:10.4028/www.scientific.net/amm.409-410.1564

Cited by 2 publications

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“…The authors designed a database schema for the ship repair industry and proposed Discrete-Event-Simulation model. Zhou [Zhou et al, 2013] proposed solutions for repairing war ships; however, their work lacked several real constraints. Papakosta's approach [Papakostas et al, 2010] was based on , , [Chryssolouri, 2005] for scheduling maintenance of airplanes whereas [Framinan andRuiz, 2012, 2010], [Moghaddam and Usher, 2011], and [Yamashita et al, 2007] proposed alternate approaches.…”

Section: Ship Repair Industrymentioning

confidence: 99%

Short-Term Resource Allocation and Management

Pinha¹

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Short-Term Resource Allocation and Management Denis da Cruz Pinha Almost all sectors of the economy, such as, government, healthcare, education, ship repair, construction, and manufacturing require project management. A key component of project management deals with scheduling of tasks such that limited resources are utilized in an effective manner. Current research on resource constrained project-scheduling has been classified as: a) Single project with single mode for various tasks, b) Single project with multiple task modes, c) Multiple projects with single task mode, and d) Multiple projects with multiple task modes. This work extends the current multi-project, multi-mode scheduling techniques. The resources can be renewable, and non-renewable. In addition, it focuses on short term scheduling, that is, scheduling on an hourly, daily, or weekly basis. Long term scheduling assumes a stable system, that is, resources, priorities, and other constraints do no change during the scheduling period. In this research, short term scheduling assumes a dynamic system, that is, resources, priorities, and other constraints change over time. A hybrid approach is proposed to address the dynamic nature of the problem. It is based on discrete event simulation and a set of empirical rules provided by the project manager. The project manager is assumed to be highly knowledgeable about the project. He/she is regarded as an integral part of the system. Such an approach is better suited to deal with "real world" scheduling. The proposed approach does not seek to provide a single "optimum" solution, instead, it generates a series of feasible solutions, along with the impact of each solution on schedule and cost. Two project case studies dealing with finding an optimum solution were selected from the literature. The proposed technique was applied to the data set in these studies. In both cases the proposed approach found the "optimum" solution. The model was then applied to two additional problems to test the features that could not be tested on the dataset from the literature. As for practical implications, the proposed approach enhances the decision making process, by providing more resource allocation flexibility, and results in improved solutions in terms of total project duration and cost. From an academic viewpoint, this research enriches the existing literature, as it provides an extension of the resource constrained project scheduling problems, a discrete event simulation and four cases studies which highlights relevant issues to model properly the complexity of real-life projects. Dedication I dedicate my dissertation to my wife, Carolina, and my son, Tiago. I would never have been able to finish my dissertation without their help. So much love! A special feeling of gratitude to my loving parents, Cesar and Vera. My brother Daniel, his wife Paula, Vinicius, and Bernardo who have helped me infinite times. I also would like to dedicate this dissertation to Tia Helena and Tio Jose Lourenco who have supported me with encouragemen...

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Section: Ship Repair Industrymentioning

confidence: 99%

Short-Term Resource Allocation and Management

Pinha¹

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Decision Support System for Production Planning in the Ship Repair Industry

Ahluwalia

Pinha

2014

ISER

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All ships and offshore platforms, however large or small, undergo scheduled or unscheduled repair and maintenance. The bidding process for ship repair jobs is highly competitive and global in scope. The ship repair industry is also prone to significant risks due to high level of capital investment in skilled labor, specialized equipment, and facilities such as dry docks. Several decision support tools have been utilized by the ship repair and maintenance industry with limited success. The focus of these tools is on mid or long-term planning. They view the system as various cost centers and attempt to minimize cost at each center. This paper proposes a decision support system for short term planning. It is oriented towards day to day decision making by ship yard personnel. Its focus is on enhancing system throughput and minimizing total cost. It utilizes a common corporate database to store and retrieve information and to generate timely reports for the management. By focusing on system throughput and overall cost, unnecessary internal completion between cost centers can be avoided, resulting in fewer delays and resource overloading.

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Research of Scheduling Management in Warship Scheduled Repair Project

Cited by 2 publications

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Short-Term Resource Allocation and Management

Short-Term Resource Allocation and Management

Decision Support System for Production Planning in the Ship Repair Industry

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