Abstract
Abstract Advancements in information and communication technologies are encouraging researches in shared manufacturing systems, especially on current high-competitiveness and low-resources scenarios. This paper aims to compare productive resources sharing with traditional manufacturing systems by using a simulation-based optimization model. The model is based on the One Product Integrated Manufacturing paradigm in which the efficiency optimization is pursued by designing ad-hoc virtual factories allocating the best resources available on an existing network. The proposed simulation-based optimization model is capable of identifying the best production path and plan for different distances between network members. Along with a better overall efficiency, it is also possible to argue that dedicated virtual factories ease the identification of problems and allow for improvements without negatively affecting other resources.
Highlights
Small and medium enterprises (SMEs) are usually more agile and flexible than large businesses, but they lack the competence to dominate all stages of the value chain (Casarotto & Pires, 2001)
This paper aims to solve some problems in a way that answers the following questions: (i) What are the benefits of using technological tools to assist decision-making? (ii) What is the best way to plan the route of the product according to productive resources efficiency? (iii) How can the simulation be used in the virtual factories development?
The opposite is observed in the One Product Integrated Manufacturing (OPIM) system, because as Process 1 of Factory 2 was dedicated to the production of Product 3, the 30% increase in the attendance rate was concentrated in Product 3
Summary
Small and medium enterprises (SMEs) are usually more agile and flexible than large businesses, but they lack the competence to dominate all stages of the value chain (Casarotto & Pires, 2001). The formation of cooperation networks might be a competitive alternative to SMEs, so that they can compete with larger companies without losing the characteristics that value them, such as flexibility and agility. Several different types of business networks such as clusters have formed, especially in developed countries (Santos & Varvakis, 1999; Alexander et al, 2013). These collaborative production systems and cooperative development environments have gained importance especially for SMEs with limited resources (Brettel et al, 2014). Companies in collaborative networks can adapt to volatile markets and shorten the product lifecycle with higher agility (Brettel et al, 2014)
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