Standard mass-production is a well-known manufacturing concept. To make small quantities or even single items of a product according to user specifications at an affordable price, alternative agile production paradigms should be investigated and developed. The system presented in this paper is based on a grid of cheap reconfigurable production units, called equiplets. A grid of these equiplets is capable to produce a variety of different products in parallel at an affordable price. The underlying agent-based software for this system is responsible for the agile manufacturing. An important aspect of this type of manufacturing is the transport of the products along the available equiplets. This transport of the products from equiplet to equiplet is quite different from standard production. Every product can have its own unique path along the equiplets. In this paper several topologies are discussed and investigated. Also, the planning and scheduling in relation to the transport constraints is subject of this study. Some possibilities of realization are discussed and simulations are used to generate results with the focus on efficiency and usability for different topologies and layouts of the grid and its internal transport system.
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Standard mass-production is a well-known manufacturing concept. To make small quantities or even single items of a product according to user specifications at an affordable price, alternative agile production paradigms should be investigated and developed. The system presented in this article is based on a grid of cheap reconfigurable production units, called equiplets. A grid of these equiplets is capable to produce a variety of different products in parallel at an affordable price. The underlying agent-based software for this system is responsible for the agile manufacturing. An important aspect of this type of manufacturing is the transport of the products along the available equiplets. This transport of the products from equiplet to equiplet is quite different from standard production. Every product can have its own unique path along the equiplets. In this article several topologies are discussed and investigated. Also, the planning and scheduling in relation to the transport constraints is subject of this study. Some possibilities of realization are discussed and simulations are used to generate results with the focus on efficiency and usability for different topologies and layouts of the grid and its internal transport system. Closely related with this problem is the scheduling of the production in the grid. A discussion about the maximum achievable load on the production grid and its relation with the transport system is also included.
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Organic wastes like cooking-waste, farm-waste and manure have detrimental effect on the environment, health and hygiene of people. Within India there are possibilities to manage the available biomass in an efficient way, which can bringenvironmental, health and economic benefits. Through anaerobic digestion, biomass can be converted into biogas and digestate, which can be used as renewable energy source and fertilizer respectively. However, there is a lack of knowledge on how to use the available biomass and, thus, its products in a beneficial way. This leads to the main question: How to fit biogas productionwithin the existing energy infrastructure of India? Our approach involves modelling biogas chains from production to consumption and then analyse several different options. Within the Flexigas project a flexible BioGas simulator is being created, which is capable of simulating biogas production and consumption process. The simulator takes into account the location andavailability of biomass, different biomass and biogas transport, anaerobic digesters, biogas upgraders and various cost involved in the biogas production process. A multi-touch User Interface is used for simulation control and result visualization. Results from the simulator shows how feasible it is to set up the biogas chains, its advantages and increases knowledge on effective biomass use.
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