A new approach for EOQ calculation using modified opportunity cost

2020 ◽  
Vol 13 ◽  
Author(s):  
Juhi Singh ◽  
Mandeep Mittal ◽  
Sarla Pareek
Keyword(s):  
Inventory Management ◽  
Opportunity Cost ◽  
Major Focus ◽  
Rule Mining ◽  
Inventory Cost ◽  
New Approach ◽  
Confidence Factor ◽  
True Value ◽  
Inventory Management System ◽  
Total Inventory

Introduction: Optimal inventory levels are necessary for a firm to avoid shortage/excess of an item. Shortage of an item leads to stock out conditions which results in loss of profit. When items are correlated with each other, stock out condition of one item may result in non purchase of its associated items also which, in turn, further brings down the profit. In this paper, this loss in profit is used to modify opportunity cost of an item resulting in its modified EOQ. Method: One illustrative example has been discussed which incorporates purchase dependencies in retail multi-item inventory management. The model discussed in this research paper will be motivational for researchers and inventory managers and provides a method for incorporating correlation among items while managing inventory. Result: The EOQs of items are estimated both by using traditional method and then by using modified opportunity cost (modeled as loss profit). Results show that in frequent item set A, B, D, EOQs of all three items increased when correlation among them is considered resulting in increase in profit. Conclusion: One of the major focus areas of inventory management is to determine when and how much quantity of items needs to be ordered so that total inventory cost can be minimized and profit of a firm can be maximized. However, while calculating the true value of an item and the profit it brings to the firm, it is very essential to analyze its effect on the sale of other items. Asso-ciation rule mining provides a way to correlate items by calculating support and confidence factor. Discussion: In inventory management system, for increasing the profit of a firm, EOQs of items need to be calculated in order to avoid shortage or excess of inventory. For explaining the approach a very small database is taken consisting of only 5 items and 10 transactions therefore the increase in profit is minimal however, when this approach applies on real database consisting of thousands of items and transactions, the increase in profit will be significant.

scholarly journals Pengembangan Model Vendor Managed Inventory dengan Banyak Retailer yang Mempertimbangkan Ketidakpastian Lead Times

2018 ◽  
Vol 7 (1) ◽  
pp. 41
Author(s):  
Carles Sitompul ◽  
Paulina Ariningsih ◽  
Ida Bagus Deva Narswara Santosa
Keyword(s):  
Inventory Management ◽  
Lead Time ◽  
Mathematical Formulation ◽  
Lead Times ◽  
Approximation Model ◽  
Vendor Managed Inventory ◽  
Inventory Cost ◽  
Inventory Management System ◽  
Total Inventory ◽  
The Cost

<p><em>An inventory management system in supply chains called Vendor Managed Inventory (VMI) is very promising due to the cost efficiency resulted from implementing such system. This research aims to develop a vendor managed inventory for multiple retailers. The model also takes into account lead time uncertainties from vendor to its retailers. A mathematical formulation for VMI with multiple retailers is first developed using deterministic lead times.  Subsequently, lead times uncertainties are then taken into account where modes lead times are broken into two components: modes and delays, each with their respective probabilities. In turn, an approximation model is used to solve the problem because the complexity aroused from the model is difficult to solve using analytical methods. It is shown that the proposed approximation method is able to solve VMI problem with multiple retailers and uncertain lead times.  Furthermore, the total inventory cost is significantly reduced when compared to the usual economic order quantity method because stockouts are less frequent. </em></p>

scholarly journals Inventory model for deteriorating items with negative exponential demand, probabilistic deterioration and fuzzy lead time under partial back logging

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Nabendu Sen ◽  
Sumit Saha
Keyword(s):  
Inventory Management ◽  
Lead Time ◽  
Probability Distributions ◽  
Optimal Strategies ◽  
Inventory Model ◽  
Deteriorating Items ◽  
Optimal Time ◽  
Inventory Cost ◽  
Total Inventory ◽  
Negative Exponential

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.

scholarly journals Effective Inventory Management of Entrepreneurs in Eastern Part Thailand: 10 Big Questions

2015 ◽  
Vol 7 (1) ◽  
pp. 67-71
Author(s):  
Adisak Suvittawat
Keyword(s):  
Inventory Management ◽  
Small Firm ◽  
Cost Reduction ◽  
Small Firms ◽  
Sample Space ◽  
Inventory Cost ◽  
Space Utilization ◽  
Large Size ◽  
Inventory Management System ◽  
Picking System

The objective of this research is finding the variables which effect on entrepreneurs’ inventory management in eastern part of Thailand. The entrepreneurs have been identified in 2 difference sizes, large and small as the inventory management variables must be different. The results show that inventory management of large size were accepted by the entrepreneurs are space utilization, product sample, product feature differentiation, effective inventory management system, inventory management objective, effective inventory picking system, inventory cost reduction, regular problem happen, effective IT system and specific soft ware for inventory management. The results show that inventory management of small size were accepted by the entrepreneurs are specific soft ware for inventory management, effective IT system, inventory management objective, effective inventory picking system, regular problem happen, product feature differentiation, inventory cost reduction, product sample, space utilization and effective inventory management. Inventory management in small firm and big firm has significantly priorities as the big firms have advantage in space utilization but need specific soft ware for inventory management due to big firms have more products or inventories items than small firms.

scholarly journals Manajemen Persediaan Tepung Terigu dengan Metode Economic Order Quantity (EOQ) pada Perusahaan Roti Nikki Echo Payakumbuh

2018 ◽  
Vol 1 (1) ◽  
pp. 21-27
Author(s):  
Desi Rahma Yani ◽  
Mega Amelia Putri ◽  
John Nefri
Keyword(s):  
Inventory Management ◽  
Production Cost ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Company Policy ◽  
Total Inventory ◽  
A Company

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

scholarly journals Decreasing Total Inventory Cost by Controlling Inventory in Motorcycle Dealer

2020 ◽  
Vol 22 (2) ◽  
pp. 41-49
Author(s):  
David ◽  
Engmir ◽  
Irwan Budiman ◽  
Jusra Tampubolon
Keyword(s):  
Inventory Management ◽  
Demand Forecasting ◽  
Spare Parts ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Safety Stocks ◽  
Forecasting Method ◽  
Total Inventory ◽  
Abc Analysis

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.

Inventory Control and Replenishment of Multi-Product Multi-Echelon Based on Time Cost Under JMI Environment

2013 ◽  
Vol 5 (2) ◽  
pp. 19-30
Author(s):  
Zhi Chen ◽  
Chao Ren ◽  
Ren-long Zhang ◽  
Mi-Yuan Shan
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Service Level ◽  
Control Model ◽  
Management Tool ◽  
Time Cost ◽  
Inventory Cost ◽  
Inventory Costs ◽  
Total Inventory ◽  
Replenishment Strategy

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.

Opportunity Cost Estimation Using Clustering and Association Rule Mining

2019 ◽  
Vol 9 (4) ◽  
pp. 38-49
Author(s):  
Reshu Agarwal
Keyword(s):  
Decision Making ◽  
Cost Estimation ◽  
Association Rule ◽  
Opportunity Cost ◽  
Rule Mining ◽  
Numerical Illustration ◽  
New Approach ◽  
Penalty Cost ◽  
Business Support ◽  
Real Scenario

Information mining strategies are most appropriate for the classification, useful patterns extraction and predications which are imperative for business support and decision making. However, an efficient method for evaluating the penalty cost has not been proposed. In this article, considering the cross-selling effect, a quantitative approach to estimate the opportunity cost based on association rules in each cluster is proposed. This article helps in better decision making for improving sales, services and quality, which is useful mechanism for business support, investment, and surveillance. A numerical illustration is utilized to clarify the new approach. Further, to understand the effect of above approach in the real scenario, experiments are conducted on a real-world dataset.

scholarly journals Inventory Management and Organisational Efficiency

2019 ◽  
pp. 756-763 ◽  
Author(s):  
Henry Inegbedion ◽  
Sunday Eze ◽  
Abiola Asaleye ◽  
Adedoyin Lawal
Keyword(s):  
Inventory Management ◽  
Cycle Time ◽  
Management Strategy ◽  
Management Policy ◽  
Inventory Level ◽  
Inventory Cost ◽  
System A ◽  
Sales Company ◽  
Total Inventory ◽  
Management Techniques

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.

scholarly journals Optimizing Firm Inventory Costs as a Fuzzy Problem

2014 ◽  
Vol 37 (1) ◽  
pp. 89-105 ◽  
Author(s):  
Dariusz Kacprzak ◽  
Witold Kosiński
Keyword(s):  
Inventory Management ◽  
Optimization Problem ◽  
Fuzzy Numbers ◽  
Fuzzy Optimization ◽  
Inventory Cost ◽  
Total Cost ◽  
Inventory Costs ◽  
Inventory Management System ◽  
Fixed Order ◽  
Total Cost Function

AbstractThe fixed order quantity model of inventory management system is used in the deterministic part. Several elements of inventory cost, such as ordering cost, transportation and storing costs, frozen capital cost, as well as extra rebates, are taken into account in the model. Then the fuzzy optimization problem for the total cost function is formulated within the space of Ordered Fuzzy Numbers when all variables of the model are fuzzy. After the choice of a particular defuzzification functional an appropriate theorem is formulated which gives the solution of the problem.

scholarly journals A Scatter Search Algorithm for Multi-Criteria Inventory Classification with Maximize the Satisfaction Level

2021 ◽  
Author(s):  
Ilkay Saracoglu
Keyword(s):  
Inventory Management ◽  
Search Algorithm ◽  
Scatter Search ◽  
Mixed Integer ◽  
Satisfaction Level ◽  
Inventory Cost ◽  
Minlp Model ◽  
Total Inventory ◽  
Scatter Search Algorithm

Abstract Inventory management requires thousands or millions of individual transactions each year. Classification of the items influences the results of inventory management. Traditionally, this is usually classified with considering an annual dollar usage criterion but maybe other criterias such as lead time, criticality, perishability, inventory cost, and demand type can be affected on that classification. The objective of this study is to determine the multi-criteria inventory classification (MCIC) of the inventory items to minimize the total inventory cost and also dissimilarity of classes. Because of the two objectives is considered to solve with together, the maximization of satisfaction level is described to solve the multi-objective problem. This study introduces a Mixed Integer Nonlinear Programming (MINLP) model of the MCIC problem by giving two objectives. A Scatter Search Algorithm (SSA) is used to solve the MINLP model for obtaining high-quality solutions within reasonable computation times. Finally, we illustrate an example and compare our results with other studies in previous literature.

Sign in / Sign up

Export Citation Format

Share Document