University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 6 2 2019 07 01 A Mathematical Model for Production Planning and Scheduling in a Production System: A Case Study 1 16 90009 EN Saeed Emami Department of Industrial Engineering, Babol Noshirvani University of Technology Fatemeh Barzegaran Department of Industrial Engineering, Babol Noshiravani University of Technology Ali Divsalar Department of Industrial Engineering, Faculty of Materials &amp; Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran Journal Article 2019 03 03 Integration in decision making at different organizational and time levels has important implications for increasing the profitability of organizations. Among the important issues of medium-term decision-making in factories, are production planning problems that seek to determine the quantities of products produced in the medium term and the allocation of corporate resources. Furthermore, at short-term, jobs scheduling and timely delivery of orders is one of the vital decision-making issues in each workshop. In this paper, the production planning and scheduling problem in a factory in the north of Iran is considered as a case study. The factory produces cans and bins in different types with ten production lines. Therefore, a mixed integer linear programming (MILP) model is presented for the integrated production planning and scheduling problem to maximize profit. The proposed model is implemented in the GAMS software with the collected data from the real environment, and the optimal scheduling and production planning for the system is presented.

https://www.ijiems.com/article_90009_b312a491b1d6b93b96f06a15fd830918.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 6 2 2019 07 01 Multi-mode capital-constrained project payment scheduling problem with Discounted Cash Flows 17 36 90010 EN Mehdi Seyfi Sariqaya MSc Graduate of Industrial Engineering at the Dept. of Socio-economic Systems, Faculty of Industrial &amp; Systems Engineering, Tarbiat Modares University, Tehran, Iran. Seyed Kamal Chaharsooghi Professor of Industrial Engineering at the Dept. of I.E., Faculty of Industrial &amp; Systems Engineering, Tarbiat Modares University,Tehran, Iran. Ali Husseinzadeh Kashan Associate Professor of Industrial Engineering, Dept. of I.E., Faculty of Industrial & Systems Engineering, Tarbiat Modares University, Tehran, Iran. Farideh Rahimnezhad MSc Graduate of Information Technology Engineering at the Dept. of I.T., Faculty of Industrial &amp; Systems Engineering, Tarbiat Modares University, Tehran, Iran. Journal Article 2019 03 10 Project scheduling is to determine the start time of each project activity, due to the constraints contained in it then determine a timing sequence to perform a series of related activities according to their precedence.<br /> So that there is a balance between time completion and total cost of the project and it is to achieve one or more objectives. To achieve these objectives, the options examined and finally, the best option is selected. Despite numerous research on schedule projects, there is lacking in the area of project scheduling with considering financial goals that these problems can be relieved with a good estimation of the costs and expected income. Therefore, in this study, we intend to develop a model for scheduling project performance purposes, including time, cost and financial (income, payment, etc.) with the aim of maximizing profits by right setting of the resources and activities and creating of the optimum cash flow program to prevent financial failure of the project. Where the resources used to implement activities and project incomes represent negative and positive cash flow respectively. As well as various financial factors such as interest rates, payment terms and credit limits not only effect on the cash flow of the project, but the amount and timing of resources affects too.

https://www.ijiems.com/article_90010_1582166aa8006058e0d0eed662e580c5.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 6 2 2019 07 01 Optimal pricing and replenishment policy for production system with discrete demand 37 50 90011 EN Heibatolah Sadeghi Department of Industrial Engineering, University of Kurdistan, Sanandaj,Kurdistan,Iran 0000-0001-7970-4251 Journal Article 2019 05 01 In the classical inventory models, it is assumed that the demand for production items is continue, however, there are various types of manufactured products that demand for their items is discrete and periodic. In this paper, an inventory control model for production systems is developed with discrete demand and interval time between two sequential demand is same. Also, assumed the demand is dependent to the price which demand decreases linearly with the increase in price. We suggest A mixed integer mathematical model and the purpose of this model is maximizing the profit by determining the optimal selling price and replenishment quantity. Mathematical theorems are developed to determine the optimal selling price and replenishment quantity for continue decision variable and then we purposed an algorithm for finding optimal discrete value for the number of periods of demand at the production time and optimal price selling. A numerical example is given to illustrate the theory.

https://www.ijiems.com/article_90011_34fc4fed862fd1a14362ead592726b47.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 6 2 2019 07 01 Supply chain analysis and improvement by using the SCOR model and Fuzzy AHP: A Case Study 51 73 90012 EN Akbar Abbaspour Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran. 0000-0002-4490-6758 Journal Article 2019 05 06 Due to the growing competition in supply chains, continuous updates of the supply chain structure are necessary for companies' durability and competitiveness. Therefore, Successful companies, regardless of their current position, are constantly striving to improve and upgrade their supply chain. A lot of research has been conducted so far to achieve the above goals. Hence, the present study aimed to use an appropriate method based on the standard framework of criteria and processes to improve the supply chain capabilities. this standard framework is the supply chain operations reference model(SCOR). Along with this, Fuzzy AHP has been used for valuation plans. The plans provided based on the best practices of the SCOR model. After analyzing the processes and mapping existing supply chain, the pairwise comparisons data obtained from the questionnaire that was completed by the expert of this field, by the use of Fuzzy AHP technique and based on the criteria of the SCOR model, the plan with the maximum weight, was selected and according to it, changes were made in the supply chain.

https://www.ijiems.com/article_90012_8686243e94b01b3855779705d1d15231.pdf

University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 6 2 2019 07 01 An extended Multi-Criteria Green Supplier Selection based on Z-Numbers for Fuzzy Multi-Objective Linear Programming Problem 74 96 90013 EN Saeid Jafarzadeh Ghoushchi Faculty of Industrial Engineering, Urmia University of Technology 0000-0003-3665-9010 Mohammad Khazaeili Faculty of Industrial Engineering Urmia University of Technology Kamyar Sabri-Laghaie Urmia University of Technology Journal Article 2019 02 10 The green supplier selection (GSS) problem is a strong and important strategy for companies and organizations that are particularly focused on the environment and technology. This study aims to select the best supplier to optimize order allocation by considering criteria, capacities, and demand. In this study, linguistics variables are firstly used in the form of Z-Numbers to evaluate the weight of criteria. After that, the weights of criteria are obtained by similar to the Z-TOPSIS Method. Thereafter, to select and determine each supplier's order values a Fuzzy multi-objective linear programming (FMOLP) problem is then presented. The proposed model adapts well to even the most complicated membership functions. Finally, the model is further developed using a numerical example at the end of this research. The results of this paper can be implemented in other multi-objective optimization problems, in which the terms uncertainty and reliability of the values of criteria are important.

https://www.ijiems.com/article_90013_4016cfcbc087b68698af5cd55826d666.pdf