Abstract

In the current distributed manufacturing environment, more extensive enterprise cooperation is an effective means for shipbuilding companies to increase the competitiveness. However, considering the project scale and the uneven production capacity between the collaborative enterprises, a key issue for shipbuilding companies is to effectively combine the product-oriented project tasks and the specialized production-oriented plants. Due to information privatization, the decision-making process of project planning and scheduling is distributed and symmetric. Existing project scheduling methods and collaboration mechanisms in the shipbuilding industry are somehow inefficient. The aim of the research is to provide an assistant decision-making method to support effective task dispatching and multi-party cooperation for better utilization of the distributed resources and to help project managers control the shipbuilding process. The article initially establishes an agent-based complex shipbuilding project collaborative planning and symmetric scheduling framework, simulating the distributed collaborative decision-making process and bridging the multi-project planning with the individual project scheduling in much detail, which fills the research gap. A negotiation method based on iterative combination auction (ICA) is further proposed to solve the integration problem of project planning and task scheduling, and an illustrative example is conducted to demonstrate the effectiveness and rationality of the methods. Finally, an application case using a prototype system on shipbuilding projects collaborative planning and scheduling will be reported as a result.

Highlights

  • Shipbuilding industry, characterized by the ETO (Engineering-to-Order) production mode, is a typical project-based industry [1]

  • In order to solve this problem, we need to clearly analyze the shipbuilding planning and task dispatching process to find out the actual business and relationship between the planning and dispatching process; we need to find a way to integrate the two-stage problem into a model and establish solutions by drawing on the existing research results in solving mode resource constrained project scheduling problem (MRCPSP) and distributed resource constrained project scheduling problem (DRCPSP)

  • Project agents (PAs) build bids (Ωi = ρi (l, k, t) : l = 1, . . . , m; k = 1, . . . , ml ; t = 1, . . . , T set by PAi, representing the resource use amount requested by project Pi ) according to the current price of auction items and communicate the bids to auctioneer to solve the problem of selecting subcontractors for each task and determining the start/finish time

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Summary

Introduction

Shipbuilding industry, characterized by the ETO (Engineering-to-Order) production mode, is a typical project-based industry [1]. For most shipbuilding enterprises, undertaking projects is generally undertaking projects is generally inefficient as reflected in the poor coordination, low inefficient utilization as of reflected in cost the poor coordination, lowdelay, utilization resources,affect cost overrun, and project delay, which resources, overrun, and project whichofseriously the enterprise’s reputation in the seriously affect the Underpinning enterprise’s reputation in the whole industry.

Cross-enterprise
Literature Review
Shipbuilding Project Planning and Scheduling
Resource Constrained Project Scheduling
Symmetric Decision-Making
Conclusions on the Reviewed Literature
Project Planning and Scheduling Process
The System Framework
Schedule
Mathematical Formulation
Objective
Iterative Combinational Auction-Based Negotiation Method
Task Scheduling Module
Encoding and Decoding
Initialize the Population
Rapid Non-Dominated Sorting and Tournament Selection
Evolution Operation
9: Output
Experiment and Results Analysis
An Application Case
Conclusions
Full Text
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