Accepted: 27 February 2017The large variability of internal and external factors is a serious problem hampering production management. To meet the standards and at the same time ensure the viability of production it is necessary to quickly respond to problems that arise during production processes, and to adequately correct plans. Measures taken in the management of madetoorder production are frequently single and unique, and therefore resemble the features of project management. The paper discusses the project management method derived from the theory of constraints -CCPM. The paper describes an original algorithm for CCPM implementation and presents the results of success CCPM implementation in a company from the Wielkopolska region. The implementation of CCPM resulted in improved timeliness of order delivery, improved communication and standardization of processes related to order delivery.Keywords project management, theory of constraints, critical chain project management. IntroductionOne of the main challenges facing SMEs in made to order manufacturing is having to combine their regular operations with continuous development, improvement and following new trends, regularly appearing in the economic environment. The pace of change taking place in the economic system, the development of techniques and technologies, changes in the law and constantly changing customer requirements mean that the failure to adapt causes obvious losses to SMEs. Global competition and market demand for customized products and services, delivered just in time, exert real stress on businesses [1,2]. Additionally, nowadays companies establish new manufacturing sites in different locations and form strategic relationships with business partners in order to increase their responsiveness to market changes and to share resources more effectively and efficiently [3,4]. These factors make it even more difficult to manage the project: deliver the customer's order [5,6].Project management is a management method whose aim is to effectively reach the project objective within the specified time and a fixed budget [7]. There are many methods supporting project management described in the literature. The most commonly used in practice include Gantt chart, Critical Path Method (CPM) and Project Evaluation and Review Technique (PERT).A Gantt chart is a horizontal bar chart developed as a production control tool in 1917 by Henry L. Gantt, an American engineer and social scientist. Frequently used in project management, a Gantt chart provides a graphical illustration of a schedule that helps to plan, coordinate, and track specific activities in a project. CPM and PERT originated in 1957 and 1958, respectively, with CPM examin-ing the tradeoffs between project duration reduction and increases in activity and project costs; and with PERT examining the uncertainty aspects of completion dates for development projects. CPM was originally developed for use with manufacturing plant rebuilds by DuPont and PERT for use with the Polaris These methods...
The intensifying of the manufacturing process and increasing the efficiency of production planning of precise and non-rigid parts, mainly crankshafts, are the first-priority task in modern manufacturing. The use of various methods for controlling the cutting force under cylindrical infeed grinding and studying its impact on crankpin machining quality and accuracy can improve machining efficiency. The paper deals with developing a comprehensive scientific and methodological approach for determining the experimental dependence parameters’ quantitative values for cutting-force calculation in cylindrical infeed grinding. The main stages of creating a method for conducting a virtual experiment to determine the cutting force depending on the array of defining parameters obtained from experimental studies are outlined. It will make it possible to get recommendations for the formation of a valid route for crankpin machining. The research’s scientific novelty lies in the developed scientific and methodological approach for determining the cutting force, based on the integrated application of an artificial neural network (ANN) and multi-parametric quasi-linear regression analysis. In particular, on production conditions, the proposed method allows the rapid and accurate assessment of the technological parameters’ influence on the power characteristics for the cutting process. A numerical experiment was conducted to study the cutting force and evaluate its value’s primary indicators based on the proposed method. The study’s practical value lies in studying how to improve the grinding performance of the main bearing and connecting rod journals by intensifying cutting modes and optimizing the structure of machining cycles.
Today's marketplace imposes ever-tightening product pricing and quality requirements, shorter delivery times, and increasingly customized products. With increasing competition in today's global market, companies are increasingly pressured to improve the performance of their production systems in order to be more competitive and improve market share. In order to try to satisfy these requirements several companies seek for the application of methodologies that may enable them to respond to these challenges, such as the ones based on the Lean Manufacturing philosophy. In this work standard times of four extruders are determined and updated in the context of setup time's analysis and minimization in a company, in Portugal. First, a diagnosis is made to the tire floor extrusion process in order to evaluate all of its inefficiencies with the greatest impact on the production process, after the standard time of each extruder is analysed and updated through an extended approach which does also consider setup times reduction, along with the production times, for reaching a higher process optimization rate and productivity in the underlying production system.
Scheduling is one of the most important decisions in production control. An approach is proposed for supporting users to solve scheduling problems, by choosing the combination of physical manufacturing system configuration and the material handling system settings. The approach considers two alternative manufacturing scheduling configurations in a two stage product oriented manufacturing system, exploring the hybrid flow shop (HFS) and the parallel flow shop (PFS) environments. For illustrating the application of the proposed approach an industrial case from the automotive components industry is studied. The main aim of this research to compare results of study of production scheduling in the hybrid and the parallel flow, taking into account the makespan minimization criterion. Thus the HFS and the PFS performance is compared and analyzed, mainly in terms of the makespan, as the transportation times vary. The study shows that the performance HFS is clearly better when the work stations’ processing times are unbalanced, either in nature or as a consequence of the addition of transport times just to one of the work station processing time but loses advantage, becoming worse than the performance of the PFS configuration when the work stations’ processing times are balanced, either in nature or as a consequence of the addition of transport times added on the work stations’ processing times. This means that physical layout configurations along with the way transport time are including the work stations’ processing times should be carefully taken into consideration due to its influence on the performance reached by both HFS and PFS configurations.
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