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Lean in the construction phase of the LPDS
Published in Lincoln H. Forbes, Syed M. Ahmed, Lean Project Delivery and Integrated Practices in Modern Construction, 2020
Lincoln H. Forbes, Syed M. Ahmed
Production control systems are typically divided into two categories: push and pull systems. Push systems may be described as having production activities that are scheduled. Pull systems are those that have the start of one activity triggered by the completion of another (Spearman et al. 1990). In the manufacturing environment, push systems work best with predictable rates of production (or cycle time), and with material supply systems that can keep pace. In practice, cycle times are often random while supply systems are designed with fixed lead times. With push systems the variability in cycle time often leaves the supply system incapable of keeping pace. Alternatively, it may result in large quantities of WIP in order to compensate.
Production: Conversion of Materials into Products
Published in Joseph Harrington, Understanding the Manufacturing Process, 2020
Conventionally, the shop, as this function is known colloquially, will be operating concurrently on tasks for a number of different products and product lines, in various stages of completion, and working under a variety of priorities. Production Control is the unit that plans the total load of the department, breaking the load up into work orders, distributing the work orders to the various machines and facilities, leveling the work load to maintain efficient and timely results, and monitoring the whole operation. When a work order is released to the shop, simultaneous move orders are issued to move the material to be worked upon, the fixtures, and the tooling to the machine site.
Understanding production activities
Published in Mike Tooley, Engineering Technologies Level 3, 2017
Any production method will require an effective means of control. This should encompass a number of factors, including ensuring the supply of materials and components as well as setting the scale of production and the timing of the different processes required. Effective production control can help to reduce wastage, minimize energy costs and avoid hold-ups and delays in production. The method of production control needs to be considered at an early stage.
A hybrid simulated annealing for scheduling in dual-resource cellular manufacturing system considering worker movement
Published in Automatika, 2019
Jufeng Wang, Chunfeng Liu, Kai Li
With rapidly changing customer expectation and global competition, cellular manufacturing system (CMS) has been an important way of producing goods in the last several decades. It shows many advantages such as an effective response to the rising product variety, a reduction in material handling cost and production lead time, streamlined production control, and enhanced productivity. Cell formation including grouping machines and tasks, and task scheduling involving decisions on task dispatching rules and timetable, are two main issues in the CMS. Consequently, these problems have attracted much investigating interest from researchers and practitioners.
Analysis of the steady state probability distribution of a manufacturing system under the prioritised hedging point control policy
Published in International Journal of Production Research, 2019
Optimal production control and performance evaluation of mP/mS/mM systems is of great significance and thus attracts the interest of researchers. Generally, the purpose of optimal production control is to minimise the production cost, i.e. the sum of inventory holding cost and demand backlog penalty. For a given policy class, to realise the optimal production control, the performance of the manufacturing system under this control must be evaluated so that the values of the parameters in the production control policy can be optimised.
Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0
Published in International Journal of Production Research, 2023
Jiewu Leng, Weinan Sha, Zisheng Lin, Jianbo Jing, Qiang Liu, Xin Chen
Many studies show that no production control pattern or method can outperform other methods in all performance indicators under different environments. The features of products, processing parameters, management goals, and environmental disruptions have an impact on the performance of the production control pattern. This paper conducts simulation experiments in the rapid PCB prototyping services to test the proposed MAPPC approach and conduct a multi-level and multi-dimensional comparative analysis of these control patterns.