scholarly journals Order Management System Proposal Using Inventory Balance Equation with Non-continuous Replenishment

2017 ◽  
Vol 26 (1) ◽  
pp. 1
Author(s):  
Veronika Novotna ◽  
Tereza Sustrova
Keyword(s):  
Functional Analysis ◽  
Time Lag ◽  
Substantial Reduction ◽  
Balance Model ◽  
Partial Backlogging ◽  
Delayed Argument ◽  
Order Management ◽  
Modern Methods ◽  
Replenishment Policy ◽  
Real State

The purpose of this paper is to present an inventory balance model including an order-up-to replenishment policy with partial backlogging. Pictured in the model is a situation, where goods are not replenished continuously, but only at predetermined intervals. The model is described by ordinary differential equations with delayed argument because of the assumption of a time lag between ordering and delivery.A computer simulation which helps to demonstrate and verify model behaviour is utilized for the numerical solution of the model. Sales data of a real company are used as the input data.Due to the comparison of the designed model outputs against the real state in the company, it was verified that it is possible to achieve a substantial reduction in warehousing costs without a disproportionate increase in the risk of inventory shortage. The authors note that modern methods of functional analysis can be successfully applied in solving an inventory balance model.

Performance evaluation of rainwater harvesting system and strategy for dry season challenge

2016 ◽  
Vol 11 (4) ◽  
pp. 829-837 ◽  
Author(s):  
Tulinave Burton Mwamila ◽  
Moo Young Han ◽  
Preksedis Marco Ndomba ◽  
Zacharia Katambara
Keyword(s):  
Rainwater Harvesting ◽  
Substantial Reduction ◽  
Dry Season ◽  
Water Levels ◽  
Balance Model ◽  
Water Shortages ◽  
Variable Demand ◽  
System Utilization ◽  
Demand Scenario ◽  
Operational Methods

The extensive application of rainwater harvesting (RWH) projects is inhibited by the challenge posed by the dry seasons. In a case study of Mnyundo Primary School, Tanzania, the performance of the RWH system was evaluated using a daily water balance model. The methodology is based on defined dry season parameters – no water days (NWDs), rainwater usage ratio (RUR), and water level in local water storages; while the system operational methods involve users adopting either fixed (constant) demand or variable demand (demand varying with respect to available water in the storage tank), throughout the system utilization. Additionally, the cost of installing an RWH system to achieve a substantial reduction of NWDs to zero was calculated. It was established that the existing system cannot achieve zero NWDs under consideration of both operational methods. However, the greater the number of tanks, the lower the NWD, and in the variable demand operational method, better RUR was achieved. For mitigating water shortages in the dry season, the school should adopt RWH in two buildings under the demand scenario (300 ≤ demand ≤ 900 L/d, for the respective water levels in the storage tanks), yielding 58% RUR. The performance of the system can be improved by monitoring water levels and adhering to demand guidelines. These are useful strategies for practitioners in water supply.

An Optimal Replenishment Policy for Pharmaceutical Items with Time-Varying Demand and Partial Backlogging

2012 ◽  
Vol 235 ◽  
pp. 271-276
Author(s):  
Yin Huang
Keyword(s):  
Supply Chain ◽  
Time Varying ◽  
Partial Backlogging ◽  
Inventory Theory ◽  
Pharmaceutical Supply Chain ◽  
Numerical Example ◽  
Complex Process ◽  
Replenishment Policy ◽  
The Cost ◽  
Varying Demand

Pharmaceutical supply chain is an extremely complex process. However, very few researches have focused on this field. Our research mainly focuses on the optimal replenishment policy for pharmaceutical items with time-varying demand and partial backlogging on the basis of deteriorating inventory theory. For this model an optimal replenishment policy is established and a numerical example is provided to illustrate the results. Moreover, some researchers often repeatedly consider the cost due to deterioration. The mistake is verified in this paper.

On an optimal replenishment policy for inventory models for non-instantaneous deteriorating items with stock dependent demand and partial backlogging

2020 ◽  
Vol 54 (1) ◽  
pp. 69-79
Author(s):  
Bashair Ahmad ◽  
Lakdere Benkherouf
Keyword(s):  
Optimal Policy ◽  
Deteriorating Items ◽  
Partial Backlogging ◽  
Simple Test ◽  
Inventory Models ◽  
Basic Model ◽  
Stock Dependent Demand ◽  
Replenishment Policy ◽  
Unique Critical Point ◽  
Dependent Demand

This paper proposes a procedure for determining the optimal replenishment policy for the simple inventory model with stock-dependent demand items, non-instantaneous deteriorating items and partial backlogging. The optimal policy is shown to be of a threshold form. That is, (i) if the time of the onset of deterioration is greater than or equal to the time at which partial-backlogging begins in the basic model (with no deterioration), then the optimal policy is determined by the parameters of the basic model, else (ii) The optimal policy corresponds to the unique critical point of the objective function for the model with non-instantaneous deterioration. Moreover, a simple test for deciding in favor of the former model is given. The procedure obtained is simpler and easier to implement than those existing in the literature. Numerical examples are presented for illustration.

Magnetoliposomes May Be Useful for Elimination of HIV from Infected Individuals

1998 ◽  
Vol 53 (9-10) ◽  
pp. 935-938 ◽  
Author(s):  
Melánia Babincová ◽  
Eva Eva Machová
Keyword(s):  
Time Lag ◽  
Substantial Reduction ◽  
Homogeneous Magnetic Field ◽  
Blood Stream ◽  
Simple Method ◽  
Venous Shunt ◽  
Immunodeficiency Virus ◽  
Infected Cells ◽  
Acquired Immunodeficiency ◽  
Immunodeficiency Syndrome

A simple method is proposed for the treatm ent of the acquired immunodeficiency syndrome (AIDS) by introducing into the blood stream magnetoliposomes with coupled human immunodeficiency virus (HIV) receptor proteins. After some time lag, needed for binding of HIV and HIV-infected cells to magnetoliposomes, the arterio-venous shunt, as used with dialysis patients should be inserted and the patient’s blood should be passed through multiple tubes filled with stainless steel wool, each of which is surrounded by a coil producing a strong non-homogeneous magnetic field, which may result in a substantial reduction of HIV and HIV-infected cells in the infected body.

An optimal replenishment policy for an EOQ model with partial backlogging

2008 ◽  
Vol 169 (1) ◽  
pp. 93-115 ◽  
Author(s):  
Joaquín Sicilia ◽  
Luis A. San-José ◽  
Juan García-Laguna
Keyword(s):  
Partial Backlogging ◽  
Eoq Model ◽  
Replenishment Policy

OPTIMAL PRICING AND REPLENISHMENT POLICY FOR NONINSTANTANEOUS DETERIORATING ITEMS AND TWO LEVELS OF STORAGE

2013 ◽  
Vol 30 (04) ◽  
pp. 1350001 ◽  
Author(s):  
IRIS-PANDORA KROMMYDA ◽  
KONSTANTINA SKOURI ◽  
IOANNIS KONSTANTARAS ◽  
IOANNIS GANAS
Keyword(s):  
Time Lag ◽  
Solution Procedure ◽  
Inventory Systems ◽  
Deteriorating Items ◽  
Optimal Pricing ◽  
Nonincreasing Function ◽  
Replenishment Policy ◽  
Excess Quantity ◽  
Special Circumstances ◽  
Dependent Demand

In this paper an inventory control system for deteriorating items with price and time-dependent demand is studied. The majority of the existing literature in inventory systems for deteriorating items, deals with items that are subject to deterioration as soon as they enter the warehouse. However, there are items that have a shelf-life and start deteriorating after a time lag (noninstantaneous deteriorating items). Under some special circumstances, i.e., attractive price discount, low storage cost, high demand, etc; the procurement of a large amount of such items at a time is decided. Because of the fixed capacity of the own warehouse (OW), a rented warehouse (RW) is used to store the excess quantity. In the present paper, a two-warehouse inventory model for noninstantaneous deteriorating items is developed. Shortages at OW are also allowed and partially backlogged at a rate, which is any nonincreasing function of the waiting time up to the next replenishment. For this model, we propose a simple solution procedure to determine the optimal pricing and replenishment schedule.

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