Dynamic Planning Model for Port Iorn Ore Inventory

2013 ◽  
Vol 409-410 ◽  
pp. 1429-1432
Author(s):  
Gui Bin Xu ◽  
Xu Zhao ◽  
Xue Ting Li

Port inventory is a very important part in iron ore supply chain. Through the inventory management, we can get the best inventory strategy to minimize the total inventory cost. The inventory management of the port iron ore can get a reasonable and feasible inventory management strategy through the dynamic planning model.

Author(s):  
Zhi Chen ◽  
Chao Ren ◽  
Ren-long Zhang ◽  
Mi-Yuan Shan

Joint managed inventory is an advanced supply chain inventory management tool, which will effectively tackle the complicated problem between the inventory cost of supply chain and service level. The research on inventory model and its’ control under JMI environment is a hot issue at present. In this paper, the authors deeply discuss the question of the inventory time costs about the multi-product and multi-echelon control model and its’ replenishment strategy under JMI environment. With considering the foundation of JMI and time cost, the authors propose the multi-product multi-echelon inventory cost control model under time cost. Then formulate corresponding replenishment strategy. At last, through a numerical example, the authors discover that the multi-product multi-echelon joint inventory management based on time cost can effectively reduce the total inventory costs and improve the competitiveness of the entire supply chain.


Author(s):  
Henry Inegbedion ◽  
Sunday Eze ◽  
Abiola Asaleye ◽  
Adedoyin Lawal

The study examined inventory management and organisational efficiency. The classical inventory management techniques were applied to an organisation’s inventory system. A door sales company in Ilorin, Nigeria that volunteered information on the basis of anonymity was used and relevant data were collected on six types of doors; panel, flush, sliding, folding and as well as manual and electronic garage doors. The company had no scientific inventory management strategy but the EOQ, inventory cycle time and reorder level were computed for the six doors using the average values of the data obtained for 2011-2017. The results show that the company can minimise its total inventory cost by consciously adopting an inventory management policy of ordering 55 panel doors, 41 flush doors, 41 sliding glass doors, 18 folding doors, 18 manual garage doors and 8 electronic garage doors respectively every cycle time of 17, 14, 17, 30, 35 and 34 days respectively or by placing the above orders each time the inventory level of panel doors, flush doors, sliding glass doors, folding doors, manual garage doors and electronic garage doors fall to 32, 24, 24, 5, 3 and 2 respectively and thus minimise the total cost of inventory.


2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Nabendu Sen ◽  
Sumit Saha

The effect of lead time plays an important role in inventory management. It is also important to study the optimal strategies when the lead time is not precisely known to the decision makers. The aim of this paper is to examine the inventory model for deteriorating items with fuzzy lead time, negative exponential demand, and partially backlogged shortages. This model is unique in its nature due to probabilistic deterioration along with fuzzy lead time. The fuzzy lead time is assumed to be triangular, parabolic, trapezoidal numbers and the graded mean integration representation method is used for the defuzzification purpose. Moreover, three different types of probability distributions, namely uniform, triangular and Beta are used for rate of deterioration to find optimal time and associated total inventory cost. The developed model is validated numerically and values of optimal time and total inventory cost are given in tabular form, corresponding to different probability distribution and fuzzy lead-time. The sensitivity analysis is performed on variation of key parameters to observe its effect on the developed model. Graphical representations are also given in support of derived optimal inventory cost vs. time.


2014 ◽  
Vol 933 ◽  
pp. 874-878
Author(s):  
Yun Rui Wang

Inventory is an important link in supply chain, according to characteristics and objectives of inventory control, the reasonable safety inventory, order point, the highest inventory and inventory strategy were determined based on historical sales data. Using Witness simulation software, the optimal strategy was selected from nine inventory strategies by running simulation model for one year. If goods shortage was allowing, the seventh schemes (72000,158100) was better ,the minimum total cost was 888158 yuan ; considering allowing a small amount of shortage, the cost of eighth schemes ( 82000,158100) was least of 1095167; the third scenarios (92000,138100) was selected if without shortage, and the minimum total cost was 1254909 yuan. This shows, the application of computer simulation to assist in the management of inventory is scientific and feasible, it can help enterprises to save the order and operation cost.


Author(s):  
Alan D. Smith

Implementing a just-in-time (JIT) inventory management strategy seems to be the latest hot topic in the business world, particularly in manufacturing industries. In today's competitive supply chain environment, more and more companies are either adopting JIT methodology or at least beginning to research and understand how JIT would affect their business. But what exactly is JIT? Many companies may be already putting into practice some of the concepts of JIT – such as looking at always improving or trying to reduce waste in terms of product or labor steps. Some companies may be fully ready to embrace a JIT operating process; yet, perhaps JIT is not the best choice for their business. The goal of this chapter is to develop a better understanding of JIT, from this history behind its inception to the various risks and benefits that relate to adopting JIT from an interdisciplinary/strategic approach to a transdisciplinary viewpoint. Those strategies, which include the basic methods of minimum stock, economic order quantity (EOQ), and Safety stock methods, are explored and explained in this chapter.


2018 ◽  
Vol 73 ◽  
pp. 13016
Author(s):  
Mara Huriga Priymasiwi ◽  
Mustafid

The management of raw material inventory is used to overcome the problems occuring especially in the food industry to achieve effectiveness, timeliness, and high service levels which are contrary to the problem of effectiveness and cost efficiency. The inventory control system is built to achieve the optimization of raw material inventory cost in the supply chain in food industry. This research represents Differential Evolution (DE) algorithm as optimization method by minimizing total inventory based on amount of raw material requirement, purchasing cost, saefty stock and reorder time. With the population size, the parameters of mutation control, crossover parameters and the number of iterations respectively 80, 0.8, 0.5, 200. With the amount of safety stock at the company 7213.95 obtained a total inventory cost decrease of 39.95%. Result indicate that the use of DE algorithm help providein efficient amount, time and cost.


2012 ◽  
Vol 174-177 ◽  
pp. 3441-3443
Author(s):  
Bin Yang

Inventory control is a necessary strategy that enterprises use to offset the effect of uncertainties in manufacturing, supply and demand. Normally, probability distribution is used to analyze the uncertainty problems, however, this analysis can’t be completed with inadequate data, resulting in an increase in inventory costs. The paper establishes inventory cost models of single supply chain member under uncertainty demands and applies Simulated Annealing Algorithm to imitate the models in 52 weeks to seek for the optimal speaking for amount and anew speaking for point so that compares the difference of supply chain total inventory cost and the sufficing rate of order for goods between independently and collaborated controlling strategy in supply chain, and in order to provide the necessary theoretical supports for the enterprises to establish supply chain partnerships and possibly improve the supply chain capability of providing external integration.


2018 ◽  
Vol 1 (1) ◽  
pp. 21-27
Author(s):  
Desi Rahma Yani ◽  
Mega Amelia Putri ◽  
John Nefri

Inventory management has an important role in a company because inventory management can decrease production cost. Economic order quantity using to minimize the production cost. Inventory management of flour in bread company Nikki Echo not been seen clearly prove by  so many booking amount. It can giving addition of cost. The purpose of this research is (1) Analyzing optimal flour stock by using EOQ method in bread company Nikki Echo, (2) Analyzing reorder point raw material inventory by using EOQ method in bread company Nikki Echo, (3) Analyzing total raw material inventory cost by using EOQ method in bread company Nikki Echo. This research be held from February 20 until April 19 2018 in bread company Nikki Echo, Tanjung Pauh, Payakumbuh city, West Sumatera province. Flour stock by using EOQ method as much 17.394 kg it means the amount greater than company policy. That amount increase 79,6% from the amount set by company. Frequency of booking less than company policy that is 7 times booking. Amount of reorder by using EOQ method is 10.251 kg with the inventory lead time for 3 days. Total inventory cost by using EOQ method as many Rp 11.445.513. This value small than total inventory cost issued by company policy. Decreasing cost amount 98% from company policy. That cause by ordering amount reduced 33 times or same with 82,5% from the amount before


2020 ◽  
Vol 22 (2) ◽  
pp. 41-49
Author(s):  
David ◽  
Engmir ◽  
Irwan Budiman ◽  
Jusra Tampubolon

This research was conducted at one of the motorcycle dealers in Indonesia. Besides selling motorcycles, this dealer also provides services to repair motorcycles and sells genuine motorcycle parts. Inventory management which the company carried out is still not good enough because there are still demand for spare parts from consumers that cannot be fulfilled by the company. The purpose of this study is to draw up a plan to control spare parts by paying attention to the spare parts that need to be considered, estimating the exact number of spare parts demand, knowing the smallest total inventory cost, knowing the amount of safety stock needed, and knowing when to reorder. In preparing the spare parts control, the methods used are ABC analysis, demand forecasting method, and EOQ method. The results of this study are plans to control the inventory of Tire, Rr. such as the forecasting sales of Tire, Rr. as many as 17338, economic order quantity of Tire Rr are 2158 units, the number of safety stocks of Tire, Rr. needed in 2020 are 1738 units, and the reorder point in 2020 is 8 times with the total inventory cost for Tire, Rr. in 2020 is Rp. 30,009,005.


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