scholarly journals Demand Forecasting of Spare Parts of Automobiles using Gaussian Support Vector Machine

IJOSTHE ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 4
Author(s):  
R. Mayur ◽  
Baibhav Kumar
Keyword(s):  
Inventory Management ◽  
Planning Process ◽  
Motor Vehicle ◽  
Demand Forecasting ◽  
Spare Parts ◽  
Support Vector ◽  
Planning And Control ◽  
Critical Issues ◽  
Traditional Manufacturing ◽  
And Control

Reordering motor vehicle spare parts for the purposes of stock replenishment is an important function of the parts manager in the typical motor dealership. Meaningful reordering requires a reliable forecast of the future demand for items. Production planning and control in remanufacturing are more complex than those in traditional manufacturing. Developing a reliable forecasting process is the first step for optimization of the overall planning process. In remanufacturing, forecasting the timing of demands is one of the critical issues. The current article presents the result of examining the effectiveness of demand forecasting by time series analysis in auto parts remanufacturing. A variety of alternative forecasting techniques were evaluated for this purpose with the aim of selecting one optimal technique to be implemented in an automatic reordering module of a real time computerized inventory management system.

scholarly journals A simulation model of inventory stock usage and its adequacy assessment for aircraft

2019 ◽  
Author(s):  
I.N. Chepko ◽  
S.A. Serebryanskiy ◽  
D.V. Bogomolov ◽  
M.V. Trofimchuk ◽  
I.V. Gerasimov
Keyword(s):  
Simulation Model ◽  
Planning Process ◽  
Spare Parts ◽  
Availability Factor ◽  
Planning And Control ◽  
Complex Models ◽  
Adequacy Assessment ◽  
Main Components ◽  
The Cost ◽  
And Control

The paper focuses on the main components of the logistics planning process and justifies the connection between the qualitative planning of the required number of units and the availability factor of aircraft. We consider the potential of simulation modeling as applied to the study of the complex systems behavior, and substantiate the application of such modeling in the inventory planning and control system for the operation of state aircraft. It was found that the availability factor, the health coefficient and the cost of purchasing spare parts can serve as efficiency criteria. The increased aircraft availability or serviceability is achieved by minimizing downtime due to the lack of spare parts. In our research we describe the simulation model of inventory stock usage and test the model for aircraft operating as part of an aviation regiment. The simulation model showed almost complete coincidence with the results of an analytical model of a queuing system. This means that when planning material and technical support, on the basis of this simulation model, it is possible to build more complex models for analyzing multi-inventory stocks without applying a complex mathematical apparatus. The model can be used as a tool for planning the required number of units for the operation of state aircraft.

Fall on Backpack: Damage Minimizing Humanoid Fall on Targeted Body Segment Using Momentum Control

2011 ◽  
Author(s):  
Sung-Hee Lee ◽  
Ambarish Goswami
Keyword(s):  
Impact Damage ◽  
Humanoid Robots ◽  
Control Algorithms ◽  
Body Segment ◽  
Dynamic Coupling ◽  
Planning And Control ◽  
Critical Issues ◽  
Absorbing Material ◽  
And Control ◽  
The Impact

Safety and robustness will become critical issues when humanoid robots start sharing human environments in the future. In physically interactive human environments, a catastrophic fall is the main threat to safety and smooth operation of humanoid robots, and thus it is critical to explore how to manage an unavoidable fall of humanoids. This paper deals with the problem of reducing the impact damage to a robot associated with a fall. A common approach is to employ damage-resistant design and apply impact-absorbing material to robot limbs, such as the backpack and knee, that are particularly prone to fall related impacts. In this paper, we select the backpack to be the most preferred body segment to experience an impact. We proceed to propose a control strategy that attempts to re-orient the robot during the fall such that it impacts the ground with its backpack. We show that the robot can fall on the backpack even when it starts falling sideways. This is achieved by utilizing dynamic coupling, i.e., by rotating the swing leg aiming to generate spin rotation of the trunk (backpack), and by rotating the trunk backward to drive the trunk to touch down with the backpack. The planning and control algorithms for fall are demonstrated in simulation.

scholarly journals Factors Influencing Wastivity in Small Scale Industries: A Case Study of Hubli-Dharwad

2014 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Chetan V. Hiremath ◽  
Shankargouda C. Patil
Keyword(s):  
Waste Management ◽  
Inventory Management ◽  
Production Systems ◽  
Small Scale ◽  
Control Mechanisms ◽  
Waste Generation ◽  
Planning And Control ◽  
Use Of Resources ◽  
Major Factors ◽  
And Control

There are many approaches to enhance the overall performance of the production systems. But these approaches are inclined towards intense use of resources and have caused huge pressure on limited resources. Many scholars suggest waste management as an alternative and complimentary approach to tackle this problem. This approach is in nascent stage and lacks standard definitions, practices and tools. The research is taken up in Dharwad District (Karnataka) to know which major factors contribute significantly for waste generation in small scale units and to test whether wastivity can be used to compare the systems to evaluate their performance. The study found that lack of Production Planning and Control contributes maximum toward waste generation followed by Human Resource practices and Inventory Management. Also, it was found that wastivity can be used as a measure to compare production units as it is unit less and is independent of category of production system. There is a further scope to quantify the contribution of each sub systems towards waste generation to develop larger control mechanisms like Total Waste Management System.

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.

scholarly journals Procurement management/ material supply on construction projects

2018 ◽  
Vol 215 ◽  
pp. 01031
Author(s):  
Maksum Tanubrata ◽  
Ika Gunawan
Keyword(s):  
Inventory Management ◽  
Construction Projects ◽  
Material Handling ◽  
Construction Project ◽  
Procurement Management ◽  
Logistics System ◽  
Planning And Control ◽  
Material Procurement ◽  
And Performance ◽  
And Control

Material inventory management is one part of the logistics system devoted to project implementation on material procurement as per the needs plan procurement management is a very important material function, since the material inventory for a construction project involves a considerable investment cost. In general, every construction project involves complex activities, which involves the sharing of activities and operations. Material acquisition activities require good planning and control considering the large percentage of material costs to the total cost of the project. So if less effective material handling will result in loss of time, cost and quality. then this should receive high attention from contractors for the smooth and performance to be achieved in the implementation of construction projects.

Simulationsbasierte PPS-Optimierung für Instandhaltungsunternehmen*/Simulation-based optimization of production planning and control in maintenance companies

2015 ◽  
Vol 105 (04) ◽  
pp. 215-219
Author(s):  
B. Denkena ◽  
A. Georgiadis
Keyword(s):  
Production Planning ◽  
Spare Parts ◽  
Production Planning And Control ◽  
Wird Eine ◽  
New Approach ◽  
Complex Products ◽  
Planning And Control ◽  
Short Notice ◽  
Simulation Based ◽  
And Control

Die Produktionsplanung und -steuerung (PPS) steht bei der Instandhaltung komplexer Produkte vor der Herausforderung, mittelfristig Entscheidungen ohne detaillierte Kenntnis des Bauteilzustandes treffen zu müssen. Je nach Bauteildiagnose sind dann kurzfristig die Fertigungskapazitäten und Lagerbestände anzupassen. Die getroffenen Entscheidungen beeinflussen die Wirtschaftlichkeit des gesamten Instandhaltungsprozesses maßgeblich. Im Rahmen des Fachbeitrags wird eine simulationsbasierte Methode vorgestellt, um die PPS in der Instandhaltung mittels Ersatzteildisposition und Reihenfolgebildung zu optimieren. Dabei werden die Entwicklung und Ergebnisse des Ansatzes zur Ersatzteildisposition beschrieben.   Production planning and control (PPC) systems concerned with maintaining complex products are faced with the challenge of making decisions without knowing the product’s condition. After the diagnosis, the production and warehouse capacities are adapted at short notice. This article presents a simulation-based method for optimizing PPC in maintenance companies. It focuses on the development and the results of a new approach for the management of spare parts.

A Framework for Improving ‘Sales and Operations Planning’

Metamorphosis ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Rakesh Kumar ◽  
Samir K. Srivastava
Keyword(s):  
Supply Chain ◽  
Business Processes ◽  
Planning Process ◽  
Supply And Demand ◽  
Operations Planning ◽  
Planning And Control ◽  
The People ◽  
Long Run ◽  
Operational Issues ◽  
And Control

Sales and Operations Planning (S&OP) initially came to existence in manufacturing in the late 1980s and has been around for about three decades now. It is the long-term collaborative planning process of production levels relative to sales within the realm of a manufacturing planning and control system at the Stock Keeping Unit (SKU) level. S&OP has evolved into a major business process adopted to manage the balance and trade-off between the conflicting preferences of the supply and demand side of the supply chain and offers many value creation opportunities. It is one of the most critical business processes used to achieve best in class performance to consistently outperform competitors. It is increasingly being viewed as essential to synchronise the entire supply chain in order to improve its efficiency, as once the S&OP process is institutionalised, it will enhance supply chain efficiency in the long run. It will also help the supply chain partners to understand and overcome supply chain risks resulting from market volatility. For this, firms must develop and deploy excellent leadership capabilities so that S&OP processes are in place and supported well within and across the supply chain. Although easy to understand, S&OP can be difficult to implement. Explaining the importance and working of S&OP, defining the key S&OP objectives and the role of people, process and technology, this article tries to address many evolving S&OP related operational issues from the people, process and supply chain perspective. It also prescribes practical ways to improve and institutionalise a strong S&OP process within a firm and consequently across the supply chain. Thereafter, it provides a useful framework to forecast ownership and suggests as to what should be discussed in S&OP meetings. Finally, it highlights the need to align the plans on a continuous basis and suggests a framework for the same.

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