scholarly journals Integrated Production and Maintenance Control Policies for Failure-prone Manufacturing Systems Producing Perishable Products

2021 ◽  
Author(s):  
Rawia Kaddachi ◽  
Ali Gharbi ◽  
Jean-Pierre Kenné
Keyword(s):  
Shelf Life ◽  
Preventive Maintenance ◽  
Manufacturing Systems ◽  
Control Policy ◽  
Joint Control ◽  
Perishable Products ◽  
Control Policies ◽  
Total Cost ◽  
Integrated Production ◽  
Wide Range

Abstract The problem of integrated production and maintenance control of unreliable manufacturing systems evolving in a stochastic and dynamic environment is studied in this paper. The considered system is subject to degradation and the produced products are perishable with random shelf-lives. The literature of operations management for perishable products reports a correlation between the shelf-life of the product and the machine degradation. In fact, the latter results in shelf-lives reduction. Ignoring this correlation effect may result in inaccurate values of the shelf-lives and inefficient control policies. The objective of this paper is to develop a joint production and maintenance control policy that minimizes the total cost composed of backlog, inventory holding, disposal and maintenance costs. The proposed parametrized joint control policy combines a multi hedging point policy and an age-based preventive maintenance policy. The optimization of the parameters of the proposed joint control policy is obtained using a simulation-based optimization approach and sensitivity analyses are provided to confirm its robustness. The obtained results show that the correlation between machine degradation and shelf-life reduction has a major influence on the control parameters and that preventive maintenance interventions can lead to increasing the shelf-life of products and minimizing the total cost. The proposed joint control policy is then compared to three other polices for a wide range of system and cost data. The obtained results show that the proposed joint control policy outperforms the other polices in terms of total incurred costs.

Muscle Synergy–Driven Robust Motion Control

2018 ◽  
Vol 30 (4) ◽  
pp. 1104-1131 ◽  
Author(s):  
Kyuengbo Min ◽  
Masami Iwamoto ◽  
Shinji Kakei ◽  
Hideyuki Kimpara
Keyword(s):  
Feedback Control ◽  
Motion Control ◽  
Control Policy ◽  
Muscle Synergy ◽  
Linear Feedback ◽  
Joint Control ◽  
Control Policies ◽  
Control Muscle ◽  
Dynamic Conditions ◽  
Control Robustness

Humans are able to robustly maintain desired motion and posture under dynamically changing circumstances, including novel conditions. To accomplish this, the brain needs to optimize the synergistic control between muscles against external dynamic factors. However, previous related studies have usually simplified the control of multiple muscles using two opposing muscles, which are minimum actuators to simulate linear feedback control. As a result, they have been unable to analyze how muscle synergy contributes to motion control robustness in a biological system. To address this issue, we considered a new muscle synergy concept used to optimize the synergy between muscle units against external dynamic conditions, including novel conditions. We propose that two main muscle control policies synergistically control muscle units to maintain the desired motion against external dynamic conditions. Our assumption is based on biological evidence regarding the control of multiple muscles via the corticospinal tract. One of the policies is the group control policy (GCP), which is used to control muscle group units classified based on functional similarities in joint control. This policy is used to effectively resist external dynamic circumstances, such as disturbances. The individual control policy (ICP) assists the GCP in precisely controlling motion by controlling individual muscle units. To validate this hypothesis, we simulated the reinforcement of the synergistic actions of the two control policies during the reinforcement learning of feedback motion control. Using this learning paradigm, the two control policies were synergistically combined to result in robust feedback control under novel transient and sustained disturbances that did not involve learning. Further, by comparing our data to experimental data generated by human subjects under the same conditions as those of the simulation, we showed that the proposed synergy concept may be used to analyze muscle synergy–driven motion control robustness in humans.

Sustainable development of wastewater treatment strategies for the food industries

2002 ◽  
Vol 45 (12) ◽  
pp. 315-320 ◽  
Author(s):  
I. Sekoulov
Keyword(s):  
Sustainable Development ◽  
Wastewater Treatment ◽  
Treatment Strategies ◽  
Future Generations ◽  
The Sustainable Development ◽  
Total Cost ◽  
Integrated Production ◽  
Food Industries ◽  
Production Processes ◽  
Process Wastewater

The sustainable development of environmental protection is a newly created philosophy. It means continuous development of better protection of the air, soil, water and resources, used from the industry, to be saved also for future generations. The globalization of the economy is another process, which interferes with environmental ideas, and an equilibrium with the socio-eco-sustainable development is wanted. The industry is subjected to big changes depending on economic development. Thus the treatment plants at the end of the pipe must be constructed with maximum flexibility. A removal of constructed devices, if not necessary, must be considered from the beginning as a possibility. Priority is given to integrated production processes solving wastewater problems directly by production devices. The treatment of the process wastewater streams separately will become more important. The end of the pipe solutions will be less complicated and more reliable. The reuse of valuable waste substances and treated water will reduce the total cost of the treatment plants substantially.

Hybrid ant colony optimization for capacitated multiple-allocation cluster hub location problem

2017 ◽  
Vol 32 (1) ◽  
pp. 44-58 ◽  
Author(s):  
Mohammad Mirabi ◽  
Parya Seddighi
Keyword(s):  
Ant Colony Optimization ◽  
Location Problem ◽  
Demand Management ◽  
Telecommunication Networks ◽  
Ant Colony ◽  
Hub Location ◽  
Hub Location Problem ◽  
Total Cost ◽  
Wide Range ◽  
Cost Of Transportation

AbstractThe hub location problems involve locating facilities and designing hub networks to minimize the total cost of transportation (as a function of distance) between hubs, establishing facilities and demand management. In this paper, we consider the capacitated cluster hub location problem because of its wide range of applications in real-world cases, especially in transportation and telecommunication networks. In this regard, a mathematical model is presented to address this problem under capacity constraints imposed on hubs and transportation lines. Then, a new hybrid algorithm based on simulated annealing and ant colony optimization is proposed to solve the presented problem. Finally, the computational experiments demonstrate that the proposed heuristic algorithm is both effective and efficient.

scholarly journals Improved Multi-Step Look-Ahead Control Policies for Automated Manufacturing Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 68824-68838 ◽  
Author(s):  
Chao Gu ◽  
Zhiwu Li ◽  
Naiqi Wu ◽  
Mohamed Khalgui ◽  
Ting Qu ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Control Policies ◽  
Look Ahead

scholarly journals Konsep Persediaan Minimum Maksimum Pengendalian Part Alat Berat Tambang PT Semen Padang

2016 ◽  
Vol 11 (1) ◽  
pp. 203 ◽  
Author(s):  
Dio Putera Hasian
Keyword(s):  
Preventive Maintenance ◽  
Control Policy ◽  
Service Level ◽  
High Demand ◽  
Heavy Equipment ◽  
Production Activity ◽  
Inventory Control Policy ◽  
Data Consumption ◽  
Demand Rate ◽  
The Impact

Bureau of mining heavy equipment maintenance at PT. Semen Padang have task in maintenance mine heavy equipment with preventive maintenance although breakdown maintenance. Part inventory is needed to make this activity work properly. If stockout happened will have the impact to PT.Semen Padang mining and production activity. To solve this problem, minimum-maximum inventory control policy is used to give an optimum value of inventory mine heavy equipment. This research is focused in filter and lubricant inventory because they have high demand rate. Data consumption filter and lubricant from January until December 2010 is used in this research. The service level that used is 95%. The result is quantity optimum inventory mine heavy equipment at filter and lubricant with application part inventory of mine heavy equipment. Because it can keep stockout although excess inventory.Keywords: stockout, optimum, inventory

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