Resource-constrained multi-project scheduling: Priority rule performance revisited

Browning, Tyson R.; Yassine, Ali A.

doi:10.1016/j.ijpe.2010.03.009

Cited by 204 publications

(111 citation statements)

References 48 publications

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“…Therefore, this paper investigates the appropriate assignment of personnel resources to program activities, which defines a feasible program schedule. Some authors view this problem as a Resource-Constrained Project Scheduling Problem (RCPSP) [9]. Personnel resources are one of the most important components of an organization that drives an organization to succeed or fail.…”

Section: Program Organizational Definitionmentioning

confidence: 99%

A Feasible Program Organizational Architecture Framework

Alblawi¹,

Stracener²,

Williams³

2017

IJET

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Abstract-A feasible program schedule and personnel allocation model may contribute to identifying the final shape of a program organization. If a program organizational design can be shown to be constructed such that it will satisfy the requirements without violating the constraints, then the design may be considered a feasible solution. This paper targets program organizations that are capable of designing and developing complex products. The approach in this paper builds upon the results of the Program Organizational Architecture Framework (POAF). We utilize constraint programming in order to extend the architecture framework and find a feasible design. Important decision variables and constraints are considered in this study. A hypothetical scenario of an ongoing program is presented to demonstrate that a given program organizational design is a feasible solution. This approach enables the program designers to support the decision-making process of implementing an effective program organizational design to manage a complex system and select the "best" program organizational structure.Index Terms-Constraint programming, complex products, systems engineering management, organizational development.

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Section: Program Organizational Definitionmentioning

confidence: 99%

A Feasible Program Organizational Architecture Framework

Alblawi¹,

Stracener²,

Williams³

2017

IJET

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“…Some of these heuristics may be intuitively obvious, but they must be made explicit if they are to be later used in an automated process (Paulson & Wand, 1992). Browning & Yassine (2010) state that heuristics are especially important for:…”

Section: Provision Of Heuristics For Quantificationmentioning

confidence: 99%

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Kasperek

Schenk

Kreimeyer³

et al. 2016

Systems Engineering

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The dynamic process behavior of Engineering Design Processes (EDPs) needs to be understood in order to distribute resources appropriately as well as for cost and schedule calculation. Currently, structural and behavioral modeling approaches are used in the context of EDP management. In many use cases, it is essential to have at hand both the static structural view and the dynamic behavioral one. Currently, however, the two modeling approaches cannot be sufficiently combined. Within this work, a framework for the structure‐based System Dynamics analysis of EDPs is presented. It uses structural models as a basis for constructing System Dynamics models to simulate the process behavior and thereby supports understanding the correlation of process structure and behavior. This framework was iteratively developed by conducting case studies and consists of three layers, a five‐step procedure and special support for the transformation of the models. For the validation, a subset of the design process at a large German commercial vehicle manufacturer has been chosen. Based on the application of the framework during a six‐month project at the company, the industrial experts rated the framework as beneficial for the purpose of optimizing EDPs. Furthermore, they stated that the transparent representation of the sequence of the process, influencing factors and control variables in combination with the quantitative data had improved their understanding of the overall process.

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“…Equation (5) ensures that the completion time of each job i, operation j must be positive numbers. Equation (6) ensure that both variables are binary 0 or 1.…”

Section: Engineer-to-order (Eto)mentioning

confidence: 99%

“…A study by [6] optimized scheduling to minimize delays with heuristic priority rules method. However, rules of priority will obtain not necessarily optimal result.…”

Section: Introductionmentioning

confidence: 99%

“…The use of meta-heuristic method was expected to obtain optimal scheduling approach with shorter time. But to use a meta-heuristic method, companies must invest in the creation of a network model, which is required to apply meta-heuristics method [6]. Therefore, the method is not applicable to most companies that deal with complex multi-project.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Project Scheduling Cost Optimization in a Machine Manufacturer Engineer-to-Order

Farizal¹,

Rachman²,

Tandean³

et al. 2016

MST

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This paper discusses the utilization of mixed integer linear programming (MILP) model to optimize cost for multiproject scheduling in a machine maker company. The objective is to minimize total project's penalty cost and labor cost. The model formulated shows how to achieve the objective i.e. whether to use outsourcing or overtime to finish all projects. The model of multi-project scheduling was solved by Branch & Bound algorithm coded in Lingo 14.0 software. The case study shows that if a company wants to minimize lateness, it should use overtime instead of outsourcing, which minimize total lateness of projects by 144 days or 73.5%. Whereas, if a company wants to optimize cost, they should use outsourcing instead of overtime, which reduces total cost of about 10,873,000 IDR or 28.5%. These results indicate that the model developed is applicable for optimizing multi-project scheduling. AbstrakOptimasi Biaya Penjadwalan Multi-Proyek pada Industri Pembuatan Mesin berbasis Engineer to Order. Paper ini membahas tentang penggunaan model mixed integer linear programming (MILP) untuk mengoptimalkan biaya dari problem penjadwalan multi-proyek pada industri pembuatan mesin. Industri ini dicirikan dengan adanya keterlambatan dalam memenuhi pesanan sehingga menyebabkan adanya biaya pinalti dan tambahan biaya pekerja. Karena itu tujuan dari studi ini adalah meminimalkan kedua biaya tersebut. Model yang dibangun dan dipecahkan dapat menunjukkan bagaimana mencapai tujuan tersebut yaitu melalui outsourcing (alih daya) atau melalui lembur. Model penjadwalan multi-proyek ini dipecahkan dengan menggunakan algoritma Branch & Bound yang telah di-coding dalam software Lingo 14,0. Hasil dari studi kasus yang menggunakan model ini menunjukkan jika sebuah perusahaan ingin menekan keterlambatan maka sebaiknya digunakan lembur bukan alih daya. Penggunaan lembur pada studi kasus dapat menekan keterlambatan multi-proyek hingga 144 hari atau 73,5%. Tetapi, jika perusahaan ingin menekan biaya maka alih daya harus digunakan. Dengan jalan ini perusahaan dapat mengurangi biaya sebesar 10.873.000 IDR atau 28,5%. Hasil ini menunjukkan model yang dibangun dapat digunakan sebagai model generic pada penjadwalan industry multi-proyek pembuatan mesin.

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Resource-constrained multi-project scheduling: Priority rule performance revisited

Cited by 204 publications

References 48 publications

A Feasible Program Organizational Architecture Framework

A Feasible Program Organizational Architecture Framework

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Multi-Project Scheduling Cost Optimization in a Machine Manufacturer Engineer-to-Order

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