Log in

Relevant bibliographies by topics / Production planning; Inventory management / Journal articles

To see the other types of publications on this topic, follow the link: Production planning; Inventory management.

Journal articles on the topic 'Production planning; Inventory management'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Production planning; Inventory management.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Mitropoulos, Costas, Dennis W. McLeavey, and Seetharama L. Narasimhan. "Production Planning and Inventory Control." Journal of the Operational Research Society 36, no. 6 (June 1985): 545. http://dx.doi.org/10.2307/2582831.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Mitropoulos, Costas. "Production Planning and Inventory Control." Journal of the Operational Research Society 36, no. 6 (June 1985): 545. http://dx.doi.org/10.1057/jors.1985.94.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Fortvin, Leonard. "Production planning and inventory control." European Journal of Operational Research 26, no. 2 (August 1986): 314–15. http://dx.doi.org/10.1016/0377-2217(86)90198-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Valqui Vidal, RenéVictor. "Decision systems for inventory management and production planning." European Journal of Operational Research 23, no. 3 (March 1986): 412. http://dx.doi.org/10.1016/0377-2217(86)90310-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Zijm, W. H. M. "Hierarchical production planning and multi-echelon inventory management." International Journal of Production Economics 26, no. 1-3 (February 1992): 257–64. http://dx.doi.org/10.1016/0925-5273(92)90072-f.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

de Matta, Renato, and Vernon Hsu. "Production Planning with Inventory-Based Financing." Foundations and Trends® in Technology, Information and Operations Management 14, no. 1–2 (2020): 121–37. http://dx.doi.org/10.1561/0200000096-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Rand, G. K. "Inventory Management and Production Planning and Scheduling (Third Edition)." Journal of the Operational Research Society 52, no. 7 (July 2001): 845. http://dx.doi.org/10.1057/palgrave.jors.2601154.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Sprague, Linda G., Larry P. Ritzman, and Lee Krajewski. "Production planning, inventory management and scheduling: Spanning the boundaries." Managerial and Decision Economics 11, no. 5 (1990): 297–315. http://dx.doi.org/10.1002/mde.4090110504.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Zijm, W. H. M., and A. G. de Kok. "Production planning and inventory management in a telecommunication industry." Engineering Costs and Production Economics 15 (May 1989): 267–76. http://dx.doi.org/10.1016/0167-188x(89)90135-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Zipkin, P. "Multi-stage production planning and inventory control." European Journal of Operational Research 29, no. 3 (June 1987): 386–87. http://dx.doi.org/10.1016/0377-2217(87)90253-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Chen, Fangruo. "Salesforce Incentives, Market Information, and Production/Inventory Planning." Management Science 51, no. 1 (January 2005): 60–75. http://dx.doi.org/10.1287/mnsc.1040.0217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Cheaitou, Ali, Christian van Delft, Yves Dallery, and Zied Jemai. "Two-period production planning and inventory control." International Journal of Production Economics 118, no. 1 (March 2009): 118–30. http://dx.doi.org/10.1016/j.ijpe.2008.08.031.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Kurniawan, Shelvy, and Steven Sanjaya Raphaeli. "Optimizing Production Process through Production Planning and Inventory Management in Motorcycle Chains Manufacturer." ComTech: Computer, Mathematics and Engineering Applications 9, no. 2 (December 31, 2018): 43. http://dx.doi.org/10.21512/comtech.v9i2.4723.

Full text

Abstract:

Based on the data, there were still shortages of production from year to year and demand wereunstable in motorcycle chains manufacturer in Indonesia. To overcome these problems, the purpose of this research was to make production planning and inventory control consisting of forecasting, aggregate planning, Master Production Schedule (MPS), and Material RequirementsPlanning (MRP). Forecasting used the additive decomposition method (average of all data), multiplicative decomposition (centered on moving average), and winter method (additive and multiplicative). Aggregate planning used chase strategy, level strategy, and transportation model. Moreover, MRP used lot for lot, Economic Order Quantity (EOQ), and Periodic Order Quantity (POQ) methods. The test shows several results. First, the best forecasting is additive decomposition (average of all data) with MAD value of 3.033,57, MSE with 13.590.490,and MAPE with 10,083%. Second, the best aggregate planning is transportation model with the total cost of Rp7.708.398.390,00. Last, the best MRP method is the lot for lot with total cost Rp7.162.567.653,00.

APA, Harvard, Vancouver, ISO, and other styles

14

Greis, Noel P. "Assessing Service Level Targets in Production and Inventory Planning." Decision Sciences 25, no. 1 (January 1994): 15–40. http://dx.doi.org/10.1111/j.1540-5915.1994.tb00514.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Firdaus, Firdaus, Roos Kities Andadari, Hari Murti Mahatma Putra, and Sri Sulandjari. "Supply Chain Management on Inventory Indonesian Drug Industry." Journal of Advanced Multidisciplinary Research 1, no. 2 (January 4, 2021): 63. http://dx.doi.org/10.30659/jamr.1.2.63-72.

Full text

Abstract:

The development of the human population in the world, especially Indonesia, to date is approximately 260 million people, making Indonesia in a big challenge where Indonesia must be able to meet the domestic drug supplies needed by the community. The availability of drugs is still an obstacle in the National Health Insurance in Indonesia, this requires the role of the pharmaceutical industry in supporting drug availability by implementing good supply chain management. The focus of this discussion is to look at drug supplies in Indonesia in meeting people's needs and identify factors for production planning, production capacity and raw material procurement for the pharmaceutical industry in supporting the availability of drugs to support the National Health Insurance. This research is a descriptive study by collecting information from various literatures on pharmacy and medicines in Indonesia with a focus on the discussion of production planning, production capacity and raw material procurement and delivery to pharmaceutical companies in supporting drug availability. Because the planning for drug needs used as a basis for drug procurement is inaccurate so that pharmaceutical companies cannot make accurate production plans and the quantity of drugs for the community is inaccurate, time and unavailable at any time, the need for and procurement of materials still depends on imported raw materials from abroad around 95% with a lead time of 1-3 months so that it has the potential to deplete drug supplies and make the National Health Insurance in Indonesia worse.

APA, Harvard, Vancouver, ISO, and other styles

16

Wang, Ru-Qiang, Chu-Fu Li, Xiao-Rong He, Bing-Zhen Chen, Ping Wang, Heng-Qiu Wang, and Chun-Jian Dong. "Chemical Production Planning Optimization with Optimal Management of Purchase and Inventory." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 42, no. 2 (2009): 111–16. http://dx.doi.org/10.1252/jcej.08we104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Rajagopalan, Sampath, and Jayashankar M. Swaminathan. "A Coordinated Production Planning Model with Capacity Expansion and Inventory Management." Management Science 47, no. 11 (November 2001): 1562–80. http://dx.doi.org/10.1287/mnsc.47.11.1562.10254.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Martin, Clarence H., Denver C. Dent, and James C. Eckhart. "Integrated Production, Distribution, and Inventory Planning at Libbey-Owens-Ford." Interfaces 23, no. 3 (June 1993): 68–78. http://dx.doi.org/10.1287/inte.23.3.68.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Liu, X., and Yl Tu. "Production planning with limited inventory capacity and allowed stockout." International Journal of Production Economics 111, no. 1 (January 2008): 180–91. http://dx.doi.org/10.1016/j.ijpe.2007.01.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Haley, K. B. "Production planning, scheduling, and inventory control: Concepts, techniques, and systems." European Journal of Operational Research 20, no. 2 (May 1985): 269. http://dx.doi.org/10.1016/0377-2217(85)90069-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Rodriguez, Maria Analia, Gabriela Corsano, Aldo Vecchietti, and Jorge Marcelo Montagna. "Simultaneous optimization of production planning and inventory management of polyurethane foam plant." Optimization and Engineering 19, no. 1 (August 28, 2017): 97–123. http://dx.doi.org/10.1007/s11081-017-9364-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Shi, Yun. "The Production Management System under Mass Customization." Advanced Materials Research 912-914 (April 2014): 1821–25. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1821.

Full text

Abstract:

Mass customization (MC) is an advanced production mode in the 21st century that combines two opposite production patterns -- customization production and mass production. It keeps low production cost and fast delivery time, while meeting individual customers needs. Firstly, via analyzing the typical production management patterns (material requirement planning (MRP)/ just in time (JIT)), and based on the two strategies of modularization and postponement, the paper presented a push/pull manufacturing model to meet the demands of MC. This model integrates the two different production patterns (push and pull) to reduce inventory, production costs and production time. Before the customer order decoupling point (CODP), common components and selective components are produced via push of plan in presence of inventory. After the CODP, customization production is conducted by pull of orders.

APA, Harvard, Vancouver, ISO, and other styles

23

Smith, Robert L., and Rachel Q. Zhang. "Infinite Horizon Production Planning in Time-Varying Systems with Convex Production and Inventory Costs." Management Science 44, no. 9 (September 1998): 1313–20. http://dx.doi.org/10.1287/mnsc.44.9.1313.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Lee, T. S., and Everett E. Adam. "Forecasting Error Evaluation in Material Requirements Planning (MRP) Production-Inventory Systems." Management Science 32, no. 9 (September 1986): 1186–205. http://dx.doi.org/10.1287/mnsc.32.9.1186.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Naderi, Bahman, Hamed Pouralikhani, and Mohammad Mohammadi. "Joint production planning, pricing and inventory control for deteriorating items." International Journal of Services and Operations Management 28, no. 3 (2017): 279. http://dx.doi.org/10.1504/ijsom.2017.10007865.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Pouralikhani, Hamed, Mohammad Mohammadi, and Bahman Naderi. "Joint production planning, pricing and inventory control for deteriorating items." International Journal of Services and Operations Management 28, no. 3 (2017): 279. http://dx.doi.org/10.1504/ijsom.2017.087286.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Hoque, A. K. M. Solayman, S. K. Biswas, and M. A. Wazed. "RELATIONSHIP BETWEEN INVENTORY MANAGEMENT AND INDUSTRIES BECOMING SICK, ESPECIALLY IN THIRD WORLD COUNTRIES." Journal of Mechanical Engineering 45, no. 1 (July 30, 2015): 7–13. http://dx.doi.org/10.3329/jme.v45i1.24377.

Full text

Abstract:

This article finds the relationship of Inventory management with industries becoming sick. Inventory planning and control are of special importance to sales, production, and finance of any firm. Proper inventory management gives an idea of relationship between raw material, work-in-process and finished goods or consumption of finished goods. From the collected data it is clear that many local plants have either no fixed norm(s) or do not practice proper way of controlling the inventory. This might be the case in many third world countries. In this article it has been discussed how to overcome sickness of industries by controlling and standardizing inventory planning and control. Also how productivity and firms financial conditions are affected by proper inventory management has also been discussed in this article.

APA, Harvard, Vancouver, ISO, and other styles

28

Radke, Andreas M., and Mitchell M. Tseng. "A risk management-based approach for inventory planning of engineering-to-order production." CIRP Annals 61, no. 1 (2012): 387–90. http://dx.doi.org/10.1016/j.cirp.2012.03.064.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Asmussen, Jesper Normann, Jesper Kristensen, Kenn Steger-Jensen, and Brian Vejrum Wæhrens. "When to integrate strategic and tactical decisions? Introduction of an asset/inventory ratio guiding fit for purpose production planning." International Journal of Physical Distribution & Logistics Management 48, no. 5 (June 4, 2018): 545–68. http://dx.doi.org/10.1108/ijpdlm-02-2018-0058.

Full text

Abstract:

Purpose Significant transitions in firms (e.g. outsourcing) may impact the relative importance of production and inventory assets, affecting the hierarchical separation of planning decisions. The purpose of this paper is to contribute to planning literature by investigating how the production system and the planning environment influence the performance difference between hierarchical and monolithic planning. Further, it seeks to reduce the prevailing theory-practice gap in tactical planning. Design/methodology/approach Through an action research study, a monolithic model integrating tactical production planning decisions, subject to upstream supply chain constraints, with strategic investments decisions was developed, tested and implemented in a global OEM. Using the developed model and a measure of the capital cost of production assets relative to the cost of holding inventory, it is numerically examined how the production system and planning environment influence the performance of hierarchical and monolithic planning. Findings The research demonstrates the potential of integrating decisions and reveals significant performance differences between hierarchical and monolithic planning for firms with low capital cost relative to inventory holding cost. Research limitations/implications The findings suggest a fit between planning processes, the production system and planning environment. Future research should empirically validate the findings and propositions. Originality/value The paper combine capital investments and production planning decisions, which usually transpire at different hierarchical levels and on different time-horizons, and investigates the consequences of hierarchical separation through a real-life validated case and numerical analysis.

APA, Harvard, Vancouver, ISO, and other styles

30

Aghezzaf, El-Houssaine, and Hendrik Van Landeghem. "An integrated model for inventory and production planning in a two-stage hybrid production system." International Journal of Production Research 40, no. 17 (January 2002): 4323–39. http://dx.doi.org/10.1080/00207540210159617.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Axsäter, Sven, and Kaj Rosling. "Multi-level production-inventory control: Material requirements planning or reorder point policies?" European Journal of Operational Research 75, no. 2 (June 1994): 405–12. http://dx.doi.org/10.1016/0377-2217(94)90084-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Gnanendran, Kingsley, and Manohar Madan. "A Production Planning Model For Reconfigurable Lines." Journal of Applied Business Research (JABR) 31, no. 6 (October 28, 2015): 2269. http://dx.doi.org/10.19030/jabr.v31i6.9501.

Full text

Abstract:

A key indicator of the efficiency of a production line is cyclic idle time. Manufacturers use heuristic line balancing techniques to determine the allocation of elemental tasks to workers so as to minimize labor costs. The productive, i.e. non-idle, portion of each cycle then reflects the efficiency of the line. Line balancing techniques determine the allocation of tasks based on a pre-specified throughput. When demand changes however, the line may have to be reconfigured to reflect the new desired flow rate, resulting possibly in a lower efficiency and a higher per-unit labor cost. This raises an interesting question: should one use a flow rate that corresponds to the higher efficiency, handling any mismatch with demand through the use of inventory or backordering, or should the aim be to match flow rate precisely with demand rate even though the resulting efficiency might be lower? This paper proposes an answer to this question by embedding line balance and efficiency into the framework of a well-known production planning model. A heuristic method for solving the extended model is developed, and its application demonstrated using numerical examples.

APA, Harvard, Vancouver, ISO, and other styles

33

Xi, Jia, and Ping Ba Sha. "Research on Optimization of Inventory Management Based on Demand Forecasting." Applied Mechanics and Materials 687-691 (November 2014): 4828–31. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4828.

Full text

Abstract:

Demand forecasting is the basis of the inventory management. Aiming at the problem of subjective forecasting method, we use quadratic exponential smoothing method to establish the mathematical model, to forecast sales volume of product A in every month in 2013. And based on demand forecasting, we put forward ABC classification management method to solve the inventory management issues. The research result of this paper has important implications in improving the inventory management level for many enterprises.Demand Forecasting and Inventory ManagementInventory management is an important part of enterprise management, and it directly affects the business situation of enterprises. A reasonable inventory can significantly enhance the comprehensive competitiveness of enterprises; too much or too little inventory settings would have a bad impact on the business, and some company even bog down because of inventory problems companies bogged down because of inventory problems [1-2]. To do inventory management, what should we do in the first step. The answer is demand forecast. When business scale reaches a certain level, it would need strict, systematic demand forecasting. The more accurate the demand forecasting is, the more accurate inventory planning would be, and more favorable for business enterprises.Few companies are able to be completely in accordance with the order production, and the vast majority of businesses are not waiting for orders after arrival, then determine how much raw material and manpower needed, and how to arrange production. Because it often takes a long production cycle, and no one is willing to wait a month to buy a bag of washing powder. Successful companies always make accurate predictions for product demand, and then put into production according to forecasting [3]. Due to their more accurate predictions, they can often carry out a reasonable plan and inventory management. Inventory forecasting, its essence is demand forecasting [4]. Demand forecasting provides important information for inventory management such as inventory amount, lead time, inventory turns. Demand forecasting is based on research and statistics, to make a scientific and reasonable inference for product demand. Product demand generally is within a certain period, certain market range, the number of consumers’ demand for a product. Demand forecasting results can help companies determine the amount of raw material inventory and products, and provide enterprise continuous production of raw materials needed, save liquidity and reduce inventory costs, improving the comprehensive competitiveness of enterprises.Product Demand Forecasting Model

APA, Harvard, Vancouver, ISO, and other styles

34

Mokhlesabadi, Shahram, Mohammad Reza Kabaranzad Ghadim, Hasan Ali Aghajani Kasegari, and Mohammad Mahdi Movahedi. "Design and development of a model and optimal planning for supply chain responsibility towards the environment." Nexo Revista Científica 34, no. 01 (April 13, 2021): 168–85. http://dx.doi.org/10.5377/nexo.v34i01.11295.

Full text

Abstract:

The responsible management of product return flows in production and inventory environments is a rapidly increasing requirement for companies. This can be attributed to economic, environmental and/or regulatory motivations. Mathematical modeling of such systems has assisted decision-making processes and provided a better understanding of the behavior of such production and inventory environments. This paper reviews the literature on the modeling of reverse logistics inventory systems based on the economic order/production quantity (EOQ/EPQ) and the joint economic lot size (JELS) settings to systematically analyze the mathematics involved in capturing the main characteristics of related processes. The literature is surveyed and classified according to the specific issues faced and modeling assumptions. Special attention is given to environmental issues. There are indications of the need for reverse logistics models' mathematics to follow current trends in ‘greening’ inventory and supply-chain models. The modeling of waste disposal, greenhouse-gas emissions, and energy consumption during production is considered as the most pressing priority for the future of reverse logistics models. An illustrative example for modeling reverse logistics inventory models with environmental implications is presented.

APA, Harvard, Vancouver, ISO, and other styles

35

Khanra, S., and K. S. Chaudhuri. "A production-inventory model for a deteriorating item with shortage and time dependent demand." Yugoslav Journal of Operations Research 21, no. 1 (2011): 29–45. http://dx.doi.org/10.2298/yjor1101029k.

Full text

Abstract:

In the present article, a production-inventory model is developed over a finite planning horizon where the demand varies linearly with time. The machine production rate is assumed to be finite and constant. Shortages in inventory are allowed and are completely backlogged. The associated constrained minimization problem is numerically solved. Sensitivity analysis is also presented for the given model.

APA, Harvard, Vancouver, ISO, and other styles

36

Prasath, Gm Arun. "INVENTORY MANAGEMENT THROUGH EXTENDED STAR-RING SUPPLY CHAIN NETWORK." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (April 1, 2017): 199. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19637.

Full text

Abstract:

Objectives: The production-distribution inventory problem has two main sectors namely production and distribution. In this paper, the nonlinearmathematical model of extended star-ring supply chain network is developed.Methods: Planning a distribution network plays a vital role in minimizing the total expenditure of the project; to prove this, a ring network topology is taken to supply goods to the SWs and extended star network topology to supply goods to the selling stores. However, setting up separate SWs for each and every selling store will be highly expensive. Hence, keeping the minimum number of SWs is very important. Selection of SWs from the available SWs is done by replacing diverse values based on the distance limitation.Results: The suggested model is validated with the mathematical problem, and the optimum set of SWs is identified from the result. The result has been substantiated using analytic hierarchy process. Conclusion: The system of optimum number of SWs is obtained from the result.

APA, Harvard, Vancouver, ISO, and other styles

37

Rizkya, Indah, and Fernando. "Optimalisasi Persediaan Bahan Baku Atap Spandex dengan Metode Q." Jurnal Sistem Teknik Industri 23, no. 1 (January 29, 2021): 1–8. http://dx.doi.org/10.32734/jsti.v23i1.4906.

Full text

Abstract:

Inventory management is one of the most important aspects in light steel construction business activities. The application of inventory management affects the continuity of the production process and improves the quality of service to consumers. Inventory is defined as an asset which includes goods owned by the company and has the potential to be sold within a certain business period in an effort to meet consumer needs at any time. Galvalume raw material inventory for the spandex roof production process often suffers from shortages due to immature planning. The shortage of inventory causes production not to run smoothly. The purpose of inventory management in this paper is to obtain an inventory policy to optimize the total inventory cost. The method used in this study is economic order quantity. Based on the results and discussion. Ordering raw materials will be made 6 times in a year with an order quantity of 116 with a safety stock of 12 units and will be ordered again when the raw materials are in 46 units. Total Inventory Cost (TIC) which was originally IDR 26.350.191,- can be saved to IDR 21.038.827,- so that the total savings that occurred amounted to IDR 5.311.364,- (20,15%).

APA, Harvard, Vancouver, ISO, and other styles

38

Dev, Navin K., Ravi Shankar, and Alok Choudhary. "Strategic design for inventory and production planning in closed-loop hybrid systems." International Journal of Production Economics 183 (January 2017): 345–53. http://dx.doi.org/10.1016/j.ijpe.2016.06.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Bradley, James R., and Bruce C. Arntzen. "The Simultaneous Planning of Production, Capacity, and Inventory in Seasonal Demand Environments." Operations Research 47, no. 6 (December 1999): 795–806. http://dx.doi.org/10.1287/opre.47.6.795.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Bohlayer, Markus, Markus Fleschutz, Marco Braun, and Gregor Zöttl. "Energy-intense production-inventory planning with participation in sequential energy markets." Applied Energy 258 (January 2020): 113954. http://dx.doi.org/10.1016/j.apenergy.2019.113954.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Raghuram, G. "Logistics Management: An Introductory Note." Vikalpa: The Journal for Decision Makers 17, no. 1 (January 1992): 31–37. http://dx.doi.org/10.1177/0256090919920104.

Full text

Abstract:

Logistics is a logical extension of viewing transportation along with production planning, distribution network design, location of plants and warehouses, inventory management and so on to achieve an efficient goods distribution system. This article by G Raghuram, which identifies key actors involved in logistics in the Indian context and concludes that the potential for cost reduction in logistics is substantial, could pave the way for further work in this area.

APA, Harvard, Vancouver, ISO, and other styles

42

Ali, Usman, Bashir Salah, Khawar Naeem, Abdul Salam Khan, Razaullah Khan, Catalin Iulian Pruncu, Muhammad Abas, and Saadat Khan. "Improved MRO Inventory Management System in Oil and Gas Company: Increased Service Level and Reduced Average Inventory Investment." Sustainability 12, no. 19 (September 29, 2020): 8027. http://dx.doi.org/10.3390/su12198027.

Full text

Abstract:

This study proposes a methodology for the oil and gas businesses to keep their production plant productive with a minimum investment in carrying maintenance, repair, and operating inventory planning. The goal is to assist the exploration and production companies in minimizing the investment in keeping maintenance, repair, and operating (MRO) inventory for improving production plant uptime. The MRO inventory is the most expensive asset and it requires substantial investment. It helps in keeping the oil and gas production plant productive by performing planned and unplanned maintenance activities. A (Q, r) model with a stock-out and backorder cost approach is combined with a continuous inventory review policy for the analysis of class A items of oil and gas production plant MRO inventory. The class A items are identified through popular ABC analysis based on annual dollar volume. The demand for the inventory is modeled through Poisson distribution with consideration of constant lead time. The (Q, r) model in both stock-out cost and backorder cost approaches assigned higher order frequency and lower service level to low annual demand and highly expensive items. The stock-out cost approach shows an 8.88% increase in the average service level and a 56.9% decrease in the company average inventory investment. The backorder cost approach results in a 7.77% increase in average service level and a 57% decrease in average inventory investment in contrast to the company’s existing inventory management system. The results have a direct impact on increasing plant uptime and productivity and reducing company maintenance cost through properly managing maintenance stock. The analysis is carried out on the oil and gas production plant’s MRO inventory data, but it can be applied to other companies’ inventory data as well. All the results reflected in this research are based on the inventory ordering policy of two orders per year. The inventory ordering frequency per year may be other than two orders per year depending on the type of organization.

APA, Harvard, Vancouver, ISO, and other styles

43

Nabil, Lahloua, Abdellah El Barkany, and Ahmed El Khalfi. "Sales and Operations Planning (S&OP) Concepts and Models under Constraints: Literature Review." International Journal of Engineering Research in Africa 34 (January 2018): 171–88. http://dx.doi.org/10.4028/www.scientific.net/jera.34.171.

Full text

Abstract:

Globalization has had a significant impact on company’s management, particularly in the supply chain (lead time, investment in production capacity and technology, organization & management ...). The sales and operations planning (S&OP) include all the processes that link the strategic objectives of the enterprise with the production plan. The impact of the S&OP on operational performance was consistently and significantly demonstrated in the operational aspects of production ; quality (conformity of production, product quality and reliability), delivery (the delivery agility, reliability of supply, manufacturing deadlines, lead times), stocks (reduction of inventory levels, inventory optimization) and flexibility (flexible volume and mix). Our objective in this paper is to present, in the first part, a literature overview of the sales and operations planning, and various research and models developed. In the second part, we will emphasize the transversal aspect of our research that involves both operational issues, tactical and strategic in a context subject to different constraints.

APA, Harvard, Vancouver, ISO, and other styles

44

Suttipongkaset, Pongpol, and Paveena Chaovalitwongse. "Delivery Planning of Water-Treatment Chemicals in Vendor Managed Inventory Context." Advanced Materials Research 931-932 (May 2014): 1664–68. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1664.

Full text

Abstract:

This research aims to improve the operating delivery system of water-treatment chemicals by establishing a chemicals inventory policy for planning appropriate chemicals delivery to five customers in the case study. Currently the company does not exploit tradeoff between transportation cost and inventory holding cost which benefits for cost reduction in terms of inventory management and chemicals delivery. The customers demand for chemicals consumption is uncertain depending on the quality of raw water and production rate. While company has constraints such as limit of transportation truck quantity and inventory review interval by the company. Therefore, for the factors mentioned, this research uses the periodic review system which demand is uncertain as an inventory model. Data from customers chemicals consumption in 2012 is used to conduct the inventory order up to level (OUL) for planning chemicals delivery to customers. Then, the research tests the delivery plan by using Monte Carlo simulation compared to the actual operation data from January to June 2013. It is found that the proposed operating system can reduce inventory cost by up to 33%.

APA, Harvard, Vancouver, ISO, and other styles

45

Hwang, J. Q., and H. A. Samat. "A Review on Joint Optimization of Maintenance with Production Planning and Spare Part Inventory Management." IOP Conference Series: Materials Science and Engineering 530 (July 15, 2019): 012048. http://dx.doi.org/10.1088/1757-899x/530/1/012048.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Ariafar, S., S. Ahmed, I. A. Choudhury, and M. A. Bakar. "Application of Fuzzy Optimization to Production-Distribution Planning in Supply Chain Management." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/218132.

Full text

Abstract:

A production-distribution model has been developed that not only allocates the limited available resources and equipment to produce the products over the time periods, but also determines the economical distributors for dispatching the products to the distribution centers or retailers. The model minimizes production, inventory holding, backordering, and transportation cost while considering the time value of money. Since uncertainty is an inevitable issue of any real-world production system, then to provide a realistic model, the concept of fuzzy sets has been applied in the proposed mathematical modeling. To illustrate and show the feasibility and validity of the model, a real case analysis, which is pertaining to a mineral water bottling production factory, has been used. The case has been solved using a three-step solution approach developed in this study. The results show the feasibility and validity of the mathematical model, and also the solution procedure.

APA, Harvard, Vancouver, ISO, and other styles

47

Dong, Ming. "Inventory planning of supply chains by linking production authorization strategy to queueing models." Production Planning & Control 14, no. 6 (September 2003): 533–41. http://dx.doi.org/10.1080/09537280310001621985.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Chen, Hong-Qiao, Xiao-Song Ding, Ji-Hong Zhang, and Hua-Yi Li. "Optimal Production-Inventory Policy for a Periodic-Review Energy Buy-Back System over an Infinite Planning Horizon." Asia-Pacific Journal of Operational Research 37, no. 02 (March 12, 2020): 2050001. http://dx.doi.org/10.1142/s0217595920500013.

Full text

Abstract:

This paper studies a periodic-review production-inventory control model under an energy buy-back program over an infinite planning horizon, in which a fixed setup cost and compensation levels corresponding to various market states are involved. The objective is to identify the manufacturer’s optimal production-inventory policy that can minimize his total discounted cost or long-run average cost. By using Veinott’s conditions, it is shown that such a state dependent optimal policy is of either an [Formula: see text], or partly an [Formula: see text] type.

APA, Harvard, Vancouver, ISO, and other styles

49

LI, YONGJIAN, JIHONG ZHANG, JIAN CHEN, and XIAOQIANG CAI. "OPTIMAL SOLUTION STRUCTURE FOR MULTI-PERIOD PRODUCTION PLANNING WITH RETURNED PRODUCTS REMANUFACTURING." Asia-Pacific Journal of Operational Research 27, no. 05 (October 2010): 629–48. http://dx.doi.org/10.1142/s0217595910002910.

Full text

Abstract:

Environmental legislation and customer expectations increasingly force manufacturers to take recovery of used products into account in their production and inventory management. One of the areas concerned is production planning with returned products remanufacturing. In this paper, we discuss the optimal decision for a joint manufacturing and remanufacturing system in a multi-period horizon, including manufacturing decision, remanufacturing and disposal decisions of the returned product. Setup costs are considered for the manufacturing and disposal activities. For an n-period model, we derive an optimal solution structure for the three activities, where the solution parameters can be computed by dynamic programming approach.

APA, Harvard, Vancouver, ISO, and other styles

50

Dawes, T. B., and N. J. Boughton. "Improved production planning and control via low-cost prototype solutions." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 4 (April 1, 2002): 649–53. http://dx.doi.org/10.1243/0954405021520184.

Full text

Abstract:

This paper describes prototype management information systems used to support the transformation of a job-orientated manufacturer into a preferred supplier to the Aerospace Industry. As a jobbing manufacturer the company excelled at reactive management, responding rapidly to short lead-time demands. This approach, however, was inappropriate for the increasingly competitive production of steady state orders (‘runners’) and spare parts orders (‘repeaters’). As a result, the company experienced falling delivery performances and increasing work-in-progress, inventory levels and overtime requirements. Furthermore, there was only a modest understanding of customer requirements due to the poor visibility of the order book. There was also little awareness of internal and supplier capabilities, and the planning and control systems were non-existent, relying heavily on senior management expertise. The company, however, was reluctant to invest in new management information systems, aware of the risk of expensive systems unsuited to the company requirements. Instead, prototype solutions were developed using low-cost and readily available software, which provided the stability and visibility that the company required and formed the basis of a more long-term understanding of planning and control requirements. This paper describes the iterative prototype developments to support the new company infrastructure and quantifies the benefits that were achieved through their introduction.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!