Energy-cost-aware resource-constrained project scheduling for complex product system with activity splitting and recombining

Du, Baigang; Tan, Tian; Guo, Jun; Li, Yibing; Guo, Sen

doi:10.1016/j.eswa.2021.114754

Cited by 16 publications

(14 citation statements)

References 37 publications

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“…Constraint (6) guarantees that only one skill is required to complete an activity, and constraint (7) ensures that only the resources that master the required skill of the activity can be allocated to the activity in each discrete period. The precedence constraints among activities of the project are ensured by constraint (8). Each activity should be processed once, and each resource can only use one skill to deal with one activity in one time period.…”

Section: Problem Formulationmentioning

confidence: 99%

“…As the most common production scheduling problem, the resource-constrained project scheduling problem (RCPSP) is widespread in various fields [1][2][3]. The RCPSP is meant to schedule activities without preemption under precedence constraints and limited resource availability to optimize the given objectives, such as the make-span and total cost [4][5][6][7][8]. In realistic situations, both the manpower and multipurpose machine master several skills, and the level of each skill is differentiated [9].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Considering Flexible Resource Profiles

Luo,

Guo,

et al. 2024

Applied Sciences

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This paper addresses a novel multi-skill resource-constrained project scheduling problem with flexible resource profiles (F-MSRCPSP), in which the resource allocation of each activity consists of a certain number of discrete resources and is allowed to be adjusted over its duration. The F-MSRCPSP aims, therefore, to determine the flexible resource profile of each activity to minimize the make-span and total cost simultaneously. Then, a hybrid multi-objective fruit fly optimization algorithm is proposed to handle the concerned problem. In the proposed algorithm, two flexible parallel and serial schedule generation schemes are introduced, aiming to schedule activities and adjust allocated resource combinations. Additionally, two heuristic strategies are proposed to effectively select suitable resource combinations for activities. Moreover, a series of operators has been developed, including the rejoining operator, empirical re-arrangement operator, and empirical re-selection operator. These operators aim to accelerate the convergence speed and enhance the exploration of the proposed algorithm. Finally, the orthogonal test is used to select the optimal parameter combination, and comparative experiments based on tests with different scales are conducted, along with a t-test. The experimental results demonstrate that MOFOA-HS is effective in solving the F-MSRCPSP.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Considering Flexible Resource Profiles

Luo,

Guo,

et al. 2024

Applied Sciences

Self Cite

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“…What we discuss in this paper is a narrow sense of development process which is an important phase in the broad sense of complex equipment collaborative development process. For complex equipment collaborative development, research contents include quality management from supply chain about cooperation and competition between suppliers and manufacturer [2] and internal quality promotion [4,5], internal product scheduling [17] and life cycle management [18], and many other related researches. Even though large body of research has been done around complex equipment collaborative development, one point that is neglected in most researches is the comprehensive evaluation analysis for the selected influencing factors that affect complex equipment collaborative development process.…”

Section: Complex Equipment Collaborative Developmentmentioning

confidence: 99%

“…Complex equipment now develops as a broader concept that not only covers the traditional aviation equipment [1], but also contains the normal car vehicle equipment and many others. The internal development mode for complex equipment is manufacturer as leader and supplier as follower [1,2]. Furthermore, the development process of complex equipment is more complex, requiring more investment [3], bearing higher risk [4,5], and more intensive knowledge [6] when compared with general equipment.…”

Section: Introductionmentioning

confidence: 99%

Selecting Suitable Key Supplier for Core Components During Smart Complex Equipment Central-Private Enterprises Collaborative Development Process: From Two Different Forms of Evaluation Information and Matching Perspective

Huang,

Qi,

Chen

et al. 2023

J. of Syst. Eng. Electron.

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With the development of central-private enterprises integration, selecting suitable key suppliers are able to provide core components for smart complex equipment. We consider selecting suitable key suppliers from matching perspective, for it not only satisfies natural development of smart complex equipment, it is also a good implementation of equipment project in central-private enterprises integration context. In in this paper, we carry out two parts of research, one is evaluation attributes based on comprehensive analysis, and the other is matching process between key suppliers and core components based on the matching attribute. In practical analysis process, we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows. In the analysis process, we adopt entropy-maximum deviation method (MDM)decision-making trial and evaluation laboratory (DEMATEL)-technique for order preference by similarity to an ideal solution (TOP-SIS) to obtain a comprehensive analysis. The entropy-MDM is applied to get weight value, DEMATEL is utilized to obtain internal relations, and TOPSIS is adopted to get ideal evaluated solution. We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean. Moreover, based on the aforementioned attributes and generalized power Heronian mean operator, we aggregate preference information to acquire relevant satisfaction degree, then combine the constructed matching model to get suitable key supplier. Through comprehensive analysis of selecting suitable suppliers, we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment. Through analysis for relevant factors, we find that leading role and service level are also significant for the smart complex equipment development process.

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“…When emergencies occur, the rapid and efficient response to the delivery needs of complex products required for the disposal of emergencies is of great importance to the timely and secure resolution of emergencies and the protection of national security and social development. Complex products are a category of large products or systems with complex customer requirements, complex product structures, and ultra-high added value, such as aerospace, large weapons and equipment, and large ships [ 1 , 2 ]. With economic globalisation, industrial agglomeration and the continuous development of high technology, more and more manufacturers, such as Boeing and Airbus, are turning to the "main manufacturer-supplier" model, and a complex supply chain network is gradually formed through collaboration and innovation between main manufacturers and suppliers, with products as the link.…”

Section: Introductionmentioning

confidence: 99%

Joint duration-cost-quality optimization model for complex product supply chains under contingency conditions

Li,

Dong,

2023

PLoS ONE

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The Graphical Evaluation and Review Technique (GERT) and complex networks are used to simulate and analyse complex product supply chain networks based on the characteristics of complex product supply chain networks. And the traditional GERT is improved by constructing a grey parametric GERT network with restricted output results, taking into account the fact that the duration, product quality and product cost of each supplier in a complex product supply chain are interval values rather than definite values, and that customers have restrictions on the duration, product quality and product cost of the final product. The functional relationship between product quality, product cost and duration is analysed, and two satisfaction functions for duration and cost are constructed in order to quantify the multi-objective requirements of shortening duration, saving product cost and guaranteeing product quality for complex products under emergency situations. Then, a duration-cost-quality model for complex product supply chains in contingency situations is constructed to obtain the better duration, product cost and product quality of each supplier by optimising the indicator parameters in the network. Finally, the scientific validity and effectiveness of the model and method are verified by means of arithmetic example. The results show that the method is able to analyse the optimal duration, product quality and product cost of each supplier, and the main manufacturer can obtain an optimised combination of duration, cost and quality for a complex product supply chain in different contingency situation. To further promote the sustainable and secure development of complex product supply chains, this paper also suggests the integration of data sharing and blockchain technology with complex product supply chains to develop dynamic supply chain feedback management systems.

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Energy-cost-aware resource-constrained project scheduling for complex product system with activity splitting and recombining

Cited by 16 publications

References 37 publications

Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Considering Flexible Resource Profiles

Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Considering Flexible Resource Profiles

Selecting Suitable Key Supplier for Core Components During Smart Complex Equipment Central-Private Enterprises Collaborative Development Process: From Two Different Forms of Evaluation Information and Matching Perspective

Joint duration-cost-quality optimization model for complex product supply chains under contingency conditions

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