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Optimal Production Control of Hybrid Manufacturing/Remanufacturing Failure-Prone Systems under Diffusion-Type Demand  [PDF]
Samir Ouaret, Vladimir Polotski, Jean-Pierre Kenné, Ali Gharbi
Applied Mathematics (AM) , 2013, DOI: 10.4236/am.2013.43079
Abstract: The problem of production control for a hybrid manufacturing/remanufacturing system under uncertainty is analyzed. Two sources of uncertainty are considered: machines are subject to random breakdowns and repairs, and demand level is modeled as a diffusion type stochastic process. Contrary to most of studies where the demand level is considered constant and fewer results where the demand is modeled as a Poisson process with few discrete levels and exponentially distributed switching time, the demand is modeled here as a diffusion type process. In particular Wiener and Ornstein-Uhlenbeck processes for cumulative demands are analyzed. We formulate the stochastic control problem and develop optimality conditions for it in the form of Hamilton-Jacobi-Bellman (HJB) partial differential equations (PDEs). We demonstrate that HJB equations are of the second order contrary to the case of constant demand rate (corresponding to the average demand in our case), where HJB equations are linear PDEs. We apply the Kushner-type finite difference scheme and the policy improvement procedure to solve HJB equations numerically and show that the optimal production policy is of hedging-point type for both demand models we have introduced, similarly to the known case of a constant demand. Obtained results allow to compute numerically the optimal production policy in hybrid manufacturing/ remanufacturing systems taking into account the demand variability, and also show that Kushner-type discrete scheme can be successfully applied for solving underlying second order HJB equations.
Software Defined Things in Manufacturing Networks  [PDF]
Arshdeep Bahga, Vijay K. Madisetti, Raj K. Madisetti, Andrew Dugenske
Journal of Software Engineering and Applications (JSEA) , 2016, DOI: 10.4236/jsea.2016.99028
Abstract: IoT technologies are being rapidly adopted for manufacturing automation, remote machine diagnostics, prognostic health management of industrial machines and supply chain management. A recent on-demand model of manufacturing that is leveraging IoT technologies is called Cloud-Based Manufacturing. We propose a Software-Defined Industrial Internet of Things (SD-IIoT) platform for as a key enabler for cloud-manufacturing, allowing flexible integration of legacy shop floor equipment into the platform. SD-IIoT enables access to manufacturing resources and allows exchange of data between industrial machines and cloud-based manufacturing applications.
Volatility Forecasting of Market Demand as Aids for Planning Manufacturing Activities  [PDF]
Jean-Pierre Briffaut, Patrick Lallement
Journal of Service Science and Management (JSSM) , 2010, DOI: 10.4236/jssm.2010.34045
Abstract: The concepts and techniques designed and used for pricing financial options have been applied to assist in scheduling manufacturing activities. Releasing a manufacturing order is viewed as an investment opportunity whose properties are similar to a call option. Its value can be considered as the derivative of the market demand mirrored in the selling price of the manufactured products and changes over time following an Itô process. Dynamic programming has been used to derive the optimal timing for releasing manufacturing orders. It appears advisable to release a manufacturing when the unit selling price come to a threshold P* given by the relation P* = β/(β–1) C with C = unit cost price. β is a parameter whose value depends on the trend parameter α and the volatility σ of the selling price, the discount rate ρ applicable to the capital appreciation relevant to the business context under consideration. The results have been successfully applied to the evolution of the quarterly construction cost index in France over ten years.
Technology and demand for skilled labor in Turkish private manufacturing industries
Aksoy Tolga
Panoeconomicus , 2009, DOI: 10.2298/pan0902261a
Abstract: This paper examines the relationship between technology and demand for skilled labor both historically and empirically. First, it is pointed out that the Industrial Revolution substituted skilled labor with unskilled labor since it has a de-skilling characteristic. Second, the skill-bias feature of Information and Communication Technologies Revolution is suggested. Finally, the effect of technological progress on the demand for skilled labor is tested for Turkish Private Manufacturing Industries. According to the static panel data estimation results, there is a positive but weak relationship between technological progress and demand for skilled labor.
Optimal manufacturing and remanufacturing capacities of systems with reverse logistics and deterministic uniform demand
Ernest Benedito,Albert Corominas
Journal of Industrial Engineering and Management , 2010, DOI: 10.3926/jiem..v3n1.p33-53
Abstract: Using reverse logistics in production systems can help to reduce costs. However, it can also mean introducing a source of uncertainty in the system behavior. In this study we present a method for calculating the optimal manufacturing and remanufacturing capacities of a system with reverse logistics and steady demand taking into account the random behavior of the quantity, quality and timing of units that are collected thru the reverse logistics system. The collected units are remanufactured or disposed of. We also provide an example to illustrate the method.
Production Planning of a Failure-Prone Manufacturing/Remanufacturing System with Production-Dependent Failure Rates  [PDF]
Annie Francie Kouedeu, Jean-Pierre Kenné, Pierre Dejax, Victor Songmene, Vladimir Polotski
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.510149

This paper deals with the production-dependent failure rates for a hybrid manufacturing/remanufacturing system subject to random failures and repairs. The failure rate of the manufacturing machine depends on its production rate, while the failure rate of the remanufacturing machine is constant. In the proposed model, the manufacturing machine is characterized by a higher production rate. The machines produce one type of final product and unmet demand is backlogged. At the expected end of their usage, products are collected from the market and kept in recoverable inventory for future remanufacturing, or disposed of. The objective of the system is to find the production rates of the manufacturing and the remanufacturing machines that would minimize a discounted overall cost consisting of serviceable inventory cost, backlog cost and holding cost for returns. A computational algorithm, based on numerical methods, is used for solving the optimality conditions obtained from the application of the stochastic dynamic programming approach. Finally, a numerical example and sensitivity analyses are presented to illustrate the usefulness of the proposed approach. Our results clearly show that the optimal control policy of the system is obtained when the failure rates of the machine depend on its production rate.

Analyze of the quality management system of Czech manufacturing companies within each phase of products’ lifecycle: initial results  [PDF]
George Cristian Gruia
GRANT journal , 2012,
Abstract: The following research study is trying to analyze the Quality Management Systems (QMS) on a selected number 50 SMEs manufacturing companies from Czech Republic and to identify the possible problems which occur related to quality in the today’s market in regards to the level of quality of the product from the product’s lifecycle point of view. Taking into account that most of the firms are certified ISO 9001:2008, the study is also trying to find out if there is a connection between ISO norms and the product lifecycle. The level of quality is being assumed to be raised due to the conditions imposed by ISO requirements, but the main questions are: What part of the product lifecycle will be more affected? and Which will need more money to be invested, in order for the company to receive the certification? This paper shows the initial result from 7 SMEs.
A New Evolutionary Algorithm Based on Bacterial Evolution and Its Application for Scheduling A Flexible Manufacturing System  [cached]
Chandramouli Anandaraman,Arun Vikram Madurai Sankar,Ramaraj Natarajan
Jurnal Teknik Industri , 2012,
Abstract: A new evolutionary computation algorithm, Superbug algorithm, which simulates evolution of bacteria in a culture, is proposed. The algorithm is developed for solving large scale optimization problems such as scheduling, transportation and assignment problems. In this work, the algorithm optimizes machine schedules in a Flexible Manufacturing System (FMS) by minimizing makespan. The FMS comprises of four machines and two identical Automated Guided Vehicles (AGVs). AGVs are used for carrying jobs between the Load/Unload (L/U) station and the machines. Experimental results indicate the efficiency of the proposed algorithm in its optimization performance in scheduling is noticeably superior to other evolutionary algorithms when compared to the best results reported in the literature for FMS Scheduling.
A Genetic Algorithm for Scheduling Flexible Manufacturing Cells  [PDF]
M. T. Taghavifard,M. Heydar,S. S. Mousavi
Journal of Applied Sciences , 2009,
Abstract: In this study, scheduling of Flexible Manufacturing Cells (FMC) is taken into consideration. This type of production system combines the merit of job shop and flow shop production systems. FMS Scheduling belongs to the class of problems that are known as NP-hard. This study presents a genetic algorithm-based technique to schedule machines and Automated Guided Vehicle (AGV), simultaneously. To generate schedules from a given chromosome, four Priority Dispatching Rules (PDR) are considered. Maximum completion time or makespan is defined as the objective function. The algorithm was coded and many randomly generated problems were solved. The obtained results were compared with optimum values obtained from the most comprehensive mathematical formulation in the literature. The experimental results show that the proposed method performs well in terms of efficiency and quality of solutions. For further study, the researchers will consider this problem in multi-objective environment.
Demand Growth versus Market Share Gains: Decomposing World Manufacturing Import Growth  [PDF]
M. Ataman Aksoy, Francis Ng
Modern Economy (ME) , 2013, DOI: 10.4236/me.2013.46046

This paper decomposes manufacturing import growth rates in a selected set of large industrial and developing countries (five industrial and eight developing) and measures the relative contributions of domestic demand and market share changes for two separate periods 1991/92-2001/02 and 2001/02-2007/08. It also shows the shares of imports both from the rest of the world and from developing countries for aggregate and three digit manufacturing sectors. Import growth is much higher during the 2000s driven by higher demand growth rates. While market share changes explain most of the growth during the 1990s, its contribution is relatively smaller during the 2000s. Imports from developing countries have grown much faster both in industrial and developing country markets driven primarily by market share changes. However, more than half of market share gains by developing countries are caused by the exports of China which accounts for more than 70 percent of market share gains of developing countries in our sample countries during the 2000s. Despite rapid growth, developing country’s share in the gross absorption of the sample countries is still very low and can expand substantially even if demand growth is much lower in the near future.

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