production planning

Open Access Article

1 - Developed Fordyce Webster Algorithm for Solving Periodic Ordering with Fuzzy Costs
N. Hamidi P. Samouei M. Eghbali

One of the most useful algorithms for inventory efficient control is the Fordyce Webster algorithm.This algorithm can solve problems with certainty parameters. In the real world, many parameters, likeinflation, can change inventory costs. This article establishes an alg More

One of the most useful algorithms for inventory efficient control is the Fordyce Webster algorithm.This algorithm can solve problems with certainty parameters. In the real world, many parameters, likeinflation, can change inventory costs. This article establishes an algorithm based on fuzzy inventorycosts (e.g. holding costs, ordering costs, and purchase cost). These costs are fuzzy triangular numbers.A numerical example is explained. The results show that the proposed algorithm is very flexible. Manuscript profile

Open Access Article

2 - Mathematical modeling and problem solving Integrated production planning and preventive maintenance with limited human resources
، mohammd sharifzadegan Adel Pourghader Chobar

The need for integration has long been the focus of researchers and industry managers. Therefore, some researchers sought to coordinate and integrate production, maintenance and repair. The issues of integrating production planning, maintenance and repair and quality co More

The need for integration has long been the focus of researchers and industry managers. Therefore, some researchers sought to coordinate and integrate production, maintenance and repair. The issues of integrating production planning, maintenance and repair and quality control with other parts of production and industrial systems reduce costs and increase the profitability of production organizations. Accordingly, in this research, integration and continuity in simultaneous planning of production areas and support in production organizations have been discussed. These areas include the schedule of production, maintenance and preventive maintenance, and human resources. Therefore, the mathematical optimization model is presented with the aim of manpower planning and increasing the volume of the company's production by considering the limitations of human resources. In this model, personnel skills, equipment usage rate and equipment failure rate in case of uncertainty with fuzzy method are used in the model parameters. The purpose of the proposed model is to minimize the labor force deficit over production efficiency. The results obtained from the implementation in a production organization by comparing the indefinite and meta-innovative solution show the improvement in the company's production with the least reasonable time, provide answers with the least possible error. Sensitivity analysis shows that the rate of equipment failure in the intervals before and after the preventive maintenance process has a great impact on the value of the objective function of the mathematical model. Manuscript profile

Open Access Article

3 - Optimizing Product Combination in Continuous Production Companies
S. Savadkouhi F. Hosseinzadeh Lotfi M.r. Shahriyari M. Vaez-Ghasemi

The optimum use of the upstream resources, production corresponding to the market demands, and structural constraints for the optimum production with the less wastes during the most rapid time required by the market which finally result in the more profit for the shareh More

The optimum use of the upstream resources, production corresponding to the market demands, and structural constraints for the optimum production with the less wastes during the most rapid time required by the market which finally result in the more profit for the shareholders are considered as the major objectives of this research. In this research, for the purpose of increasing the efficiency and optimum production, a model with a sequence proportional to the constraints of the problem is proposed by use of zero–one, integer programming based on the operational research science. The gained mathematical model is studied and verified with the actual data of Jam Polypropylene Co. and executed during monthly periods with one year planning horizon that the expected results of this research will realize during the term of study and assessment will result in increase of net profit, decrease in product storage, the faster responding the market demand corresponding to the profit of the company by taking the structural constraints of the factory and production into account. Manuscript profile

Open Access Article

4 - Production planning in parallel production systems such as banks: A DEA-based approach
Sohrab Kordrostamia Alireza Amirteimoori Atefeh Masoumzadeha

Banking industry in the world and especially in Iran are among those competitive organizations that active based on parallel production systems. So,production planning for the next period of activity is so sensitive, and important. To achieve these end, Decisions should More

Banking industry in the world and especially in Iran are among those competitive organizations that active based on parallel production systems. So,production planning for the next period of activity is so sensitive, and important. To achieve these end, Decisions should forecastes short and long financial plans for next period. In many real word problems, there is production systems which are composed a finite number of production stations arranged in parallel. The problem of production planning and resource allocation in such systems is an important subject in DEA context. In this paper, the problem of resource allocation and production planning in parallel production systems has been studied. An aggregated DEA model is used to the production planning problem. An empirical example is used to illustrate the applicability to the proposed approach. Manuscript profile

Open Access Article

5 - ارائه یک مدل هدف‌گذاری مبتنی بر کارایی در ساختارهای سِری K مرحله‌ای
M. Homayounfar AR. Amirteimoori M. Goudarzvand- Chegini

تحلیل پوششی دادهها به عنوان یک رویکرد اثربخش در ارزیابی کارایی نسبی واحدهای تصمیمگیرنده، اخیراً در ارائه برنامههای تولید در قالب تخصیص منابع و هدفگذاری در بسیاری از سیستمهای تولیدی و عملیاتی مورد استفاده قرار گرفته است. اغلب این سیستمها دار More

تحلیل پوششی دادهها به عنوان یک رویکرد اثربخش در ارزیابی کارایی نسبی واحدهای تصمیمگیرنده، اخیراً در ارائه برنامههای تولید در قالب تخصیص منابع و هدفگذاری در بسیاری از سیستمهای تولیدی و عملیاتی مورد استفاده قرار گرفته است. اغلب این سیستمها دارای ساختار شبکهای هستند که در آنها خروجیهای یک مرحله خاص، شاخصهای واسطهای هستند که ورودیهای مرحله بعد را تشکیل میدهند. این مقاله یک مدل برنامهریزی خطی چند هدفه مبتنی بر تحلیل پوششی دادههای K مرحلهای را که خروجیهای نامطلوب را مورد توجه قرار میدهد، برای هدفگذاری در ساختارهای شبکهای سری ارائه میدهد. از آنجاییکه مدل پیشنهادی در هنگام ارائه ترکیب ورودیها / خروجیها، اندازه واحدهای تحت ارزیابی را مورد توجه قرار میدهد، برنامه جدید شدنی بودن نتایج را تضمین میکند. یک مثال واقعی از یک سیستم تولیدی برای نشان دادن کاربرد مدل پیشنهاد شده، استفاده شده است. نتایج نشان میدهند که بر اساس برنامه جدید، همه امتیازات کارایی بهبود یافتهاند. Manuscript profile

Open Access Article

6 - Providing an optimal model of production planning, repairs and maintenance and scheduling of labor in conditions of uncertainty and solving it with the ant algorithm
mohammd sharifzadegan Tahmourth sohrabi Ahmad Jafarnejad Chaghoshi,

10.30495/imj.2021.681474

Abstract: In today's competitive environment, production productivity is a very important and key issue. However, all department of the production unit are interdependent. Rapid response to customer needs, diversity, reliability and cost of equipment and machinery due t More

Abstract: In today's competitive environment, production productivity is a very important and key issue. However, all department of the production unit are interdependent. Rapid response to customer needs, diversity, reliability and cost of equipment and machinery due to the widespread limitations in production resources to be competitive and gain market share in conditions of uncertainty, is needed to make management decisions from Use an integrated format that incorporates important elements. Accordingly, in this study, the integration of three important areas in manufacturing companies has been addressed. These areas include production planning, maintenance, and manpower planning. In this way, a mathematical model with the aim of optimal use of labor and increasing production volume is presented. In this model of workers' experience, machine utilization rate and machine failure rate are expressed uncertainly and with fuzzy numbers. To solveing this model, the ants meta-innovation algorithm has been used. Numerical results obtained from the implementation in an industrial company show that the algorithm used can provide answers with the least possible error in a reasonable time. Sensitivity analysis also shows that the failure rate of the machine before and after repairs and maintenance has a great impact on the value of the objective function of the mathematical model. Manuscript profile

Open Access Article

7 - Presenting a multi-objective mathematical model of multi-product and multi-stage fuzzy production planning for several periods in Gamz software
Aslan Doosti saeid Rezaie Moghadam saeid Rezaie Moghadam

10.30495/imj.2022.691476

In manufacturing and service processes, facing conditions of uncertainty and changes in the amount of data used in the model causes variable parameters, and therefore it is not uncommon to expect such conditions in decision making. Therefore, not paying attention to suc More

In manufacturing and service processes, facing conditions of uncertainty and changes in the amount of data used in the model causes variable parameters, and therefore it is not uncommon to expect such conditions in decision making. Therefore, not paying attention to such changes causes deviation in planning and deviation from the real situation and causes a lot of damage in the mentioned environments. Due to the importance of the issue, in this paper, the fuzzy optimization approach is used to deal with the uncertainty in the parameters of uncertainty of production stages and product quality in the manufacturer's center and model reconstruction center. The present study intends to design a mathematical model of a multi-objective production program and optimize it to minimize the cost of inventory, production, and manpower, and the maximum quality of the product and maximize the maximum occurrence of uncertainty at each stage of production that causes bottlenecks. It can increase the profitability of Borujen Concrete Parts Company. The results of solving the model by coding in Gamz software and using the comprehensive criterion method include the values of objective functions and decision variables. The results were approved by the officials of Borujen Stream Concrete Parts Company. Manuscript profile

Open Access Article

8 - Goal Programming for Production in Fiber Intermediate Production Company
Hossein Ostadi Iman Ajripour

To development and survival, organizations need to make the optimal decision for their resources. With regard to the organization goals, determining the quantity and composition of products have been the main concerns of managers in recent years. Therefore, goal program More

To development and survival, organizations need to make the optimal decision for their resources. With regard to the organization goals, determining the quantity and composition of products have been the main concerns of managers in recent years. Therefore, goal programming can be used for solving these problems with multiple and sometimes conflicting objectives. In this paper, it is tried to calculate the planning amount of two productions (liquid and solid Dimethyl terephthalate (DMT)) with regard to the FIPCO's goal limitations. After determining limits and priorities of the goals, the objective function was cleared.  Then Lexicography technique and Iterative approach were applied to solve the model. After analyzing outputs, the amount of two productions, liquid, and solid Dimethyl terephthalate will respectively decrease 3% and increase 21% compared to the initial planning amount.     Manuscript profile

Open Access Article

9 - Classification and Separation of mine wastes in Chadurmalu iron ore mine in order to decrease in environmental impacts rate
Seyed Hamid Reza Mirahmadi Amir Hossien Bangian Tabrizi

One of environmental issues in open pit mining is to separate and send of mine wastes with different grade to different waste dumps. In this paper the mentioned subject of short-term production planning is presented. In short-term production planning the subjects of exa More

One of environmental issues in open pit mining is to separate and send of mine wastes with different grade to different waste dumps. In this paper the mentioned subject of short-term production planning is presented. In short-term production planning the subjects of exact contact boundaries between ore and waste, optimizing of extracting ore grade, the sequence of ore blocks’ exploitation and waste blocks’ removal are considered. Using of boreholes’ data of one or two higher working benches is one of the easiest ways of grade estimating in mining bench. For evaluating of presented model in this research, Chadormalu iron ore mine data is used as a case study. In the case study, the place of the bench in elevation of 1465 m is determined as the target bench of production planning. Average and least of iron grade were estimated respectively 57.08% and 53.62%. So, if only estimated grade in reserve estimating step is considered in short-term production planning more than 30% of the ore block’s reserve is transferred to the waste dump. So, the presented model waste dumps with different iron ore grade is planned for potentially future uses.   Manuscript profile

Open Access Article

10 - Production scheduling for lime stone open pit mines with special emphasis on lime stone saturation factor to reduce environmental impacts of cement industry (Case study: Tehran cement factory)
Ebrahim Safarlo arash ebrahimabadi Afshin Akbari

   Since cement industries are among the polluting industries, efforts should be made to reduce the environmental pollution of this industry by planning and optimizing its raw materials. With this approach, considering the close proximity of Tehran's cement p More

   Since cement industries are among the polluting industries, efforts should be made to reduce the environmental pollution of this industry by planning and optimizing its raw materials. With this approach, considering the close proximity of Tehran's cement plant to the capital, it was decided that with the optimization of the planning of production of mines, the supplier of raw materials of this plant with the aim of reducing the amount of waste and pollutants to improve the activities of the factory stepped up in this direction Optimization of extraction and adjustment of raw materials was used in research methods in operations, especially linear programming. The most important sources of raw material supplies to the Bibishahrbanoo, Mesgarabad, Lapehzanak and Chehelghez mines (as CaO, Fe2O3 and Al2O3 fractionation compensators in the form of iron ore and bauxite stones). Cement production is based on the setting of calcium saturation modulus, silica modulus and alumina modulus, among which the calcium saturation modulus is the most important factor in the composition of raw materials. In this plan, the issue of short-term production planning, the modulus adjustment, and the determination of the contribution of each resource in the supply of feed to the factory becomes a very attractive engineering problem, which requires the solution of this issue in terms of environmental and engineering indicators. Based on data gathered from geological maps and exploratory boreholes, as well as the analysis of surface samples of the studied areas, the set of mines was divided into 31 utilizable blocks. Then, by coding in the Lingo software environment, the extraction of blocks based on cement modulus was prioritized. The results of analyzes in production planning showed that the amount of calcium saturation modulus in the optimum setting is 82.12% and the minimum amount of elemental (MgO) is 2.69%, which is the result of the Tehran cement complex and causes the least amount of environmental pollution. Manuscript profile

Open Access Article

11 - Designing a Mathematic Model for Optimization of Processes of Production Planning and Inventory Control in Reverse Supply Chain
Abbas Toloie Ashlaghi Reza EhteshamRasi Jamshid Nazemi Mahmood Alborzi

In this research, production planning and the amount controlling of inventory have been as effective factors in the process of reverse supply chain in flow returned products from customers to producers. Also, as  the  amount of recoverable as well as  rec More

In this research, production planning and the amount controlling of inventory have been as effective factors in the process of reverse supply chain in flow returned products from customers to producers. Also, as  the  amount of recoverable as well as  recycling returned products factors are in uncertainty and probability condition; therefore, a model which is enable to meet customers ‘needs in terms of  least delay time, high flexibility and low cost of supply chain is necessary. The results of multi objective mathematic model is to meet and optimize different objectives as increasing profitability, decreasing cost, decreasing the environment pollution, scrap and processing time. Considering that the reverse supply chain problem is categorized in NP-Hard problems which are not easily solvable by Gradient methods thus other methods like Genetic Algorithm for optimizing production planning and inventory control in reverse supply chain was used. Manuscript profile

Open Access Article