检索结果-内蒙古大学图书馆

A look-ahead wagner-whitin algorithm for chaotic demands

Kung Yeh Kung Chieng Hsueh K'an/Journal of the Chinese Institute of Industrial Engineers 2001年第4期18卷 1-12页

作者： Wang, Kung-Jeng Wee, Hui-Ming Gao, Shin-Feng Twu, Shih-Hsiung Department of Industrial Engineering Chung-Yuan Christian University Chung Li 320 22 Pu-Jen Taiwan Department of Electrical Engineering Chung-Yuan Christian University Chung Li Taiwan

The goal of this paper is to explore an effective approach for identifying chaotic types of demands and to develop a production control method for the corresponding chaotic demands. Chaos phenomena is a set of unpredictable behaviors of nonlinear deterministic models. Being distinct from probabilistic types of demands, chaotic demands have a significant impact on production planning due to its butterfly effect. The experiments conducted in the research show that the maximal Lyapunov exponent is very effective in classifying chaos and non-chaos demands. We develop a modified wagner-whitin algorithm to facilitate production planning for chaotic demands. The proposed approach is capable of making economical production plans in terms of cost for unpredictable, chaotic demands. The algorithm is tested under a variety of scenarios, such as chaotic demand types, initial conditions, set-up costs, holding costs, and entropy types. The conducted experiment indicates that this algorithm is robust to all of the observed situations, and the minimal total production cost of the proposed method approaches to the optimal one which is produced by the naive wagner-whitin algorithm for static demand environments.

关键词： Chaos Production planning wagner-whitin algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on Realizing a Shelf of Production Planning System Based on wagner-whitin algorithm

Research on Realizing a Shelf of Production Planning System ...

引用

2011 International Conference on Mechanical, Industrial, and Manufacturing Engineering (MIME 2011)

作者： Kun Zhang College of Electronics and Information Engineering Qiongzhou University Sanya,Hainan,China

MRP(Material Requirements Planning) is mainly applied in the stock control of dependence requirement *** requirement which can decrease the stock level *** paper designs a kind of MRP system that can concerns the prod... 详细信息

关键词： MRP Production with guarantee period wagner-whitin algorithm

来源：评论

学校读者我要写书评

暂无评论

Solving the stochastic dynamic lot-sizing problem through nature-inspired heuristics

引用

COMPUTERS & OPERATIONS RESEARCH 2012年第7期39卷 1555-1565页

作者： Piperagkas, G. S. Konstantaras, I. Skouri, K. Parsopoulos, K. E. Univ Ioannina Dept Comp Sci GR-45110 Ioannina Greece Univ Macedonia Dept Business Adm GR-54006 Thessaloniki Greece Univ Ioannina Dept Math GR-45110 Ioannina Greece

We investigate the dynamic lot-size problem under stochastic and non-stationary demand over the planning horizon. The problem is tackled by using three popular heuristic methods from the fields of evolutionary computation and swarm intelligence, namely particle swarm optimization, differential evolution and harmony search. To the best of the authors' knowledge, this is the first investigation of the specific problem with approaches of this type. The algorithms are properly manipulated to fit the requirements of the problem. Their performance, in terms of run-time and solution accuracy, is investigated on test cases previously used in relevant works. Specifically, the lot-size problem with normally distributed demand is considered for different planning horizons, varying from 12 up to 48 periods. The obtained results are analyzed, providing evidence on the efficiency of the employed approaches as promising alternatives to the established wagner-whitin algorithm, as well as hints on their proper configuration. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Dynamic lot-size problem wagner-whitin algorithm Particle swarm optimization Differential evolution Harmony search

来源：评论

学校读者我要写书评

暂无评论

A MAX-MIN ant system for unconstrained multi-level lot-sizing problems

引用

COMPUTERS & OPERATIONS RESEARCH 2007年第9期34卷 2533-2552页

作者： Pitakaso, Rapeepan Almeder, Christian Doerner, Karl F. Hartl, Richard F. Univ Vienna Inst Management Sci A-1210 Vienna Austria Ubonrajathanee Univ Dept Ind Engn Ubon Ratchathani 34190 Thailand

In this paper, we present an ant-based algorithm for solving unconstrained multi-level lot-sizing problems called ant system for multi-level lot-sizing algorithm (ASMLLS). We apply a hybrid approach where we use ant colony optimization in order to find a Mod lot-sizing sequence, i.e. a sequence of the different items in the product structure in which we apply a modified wagner-whitin algorithm for each item separately. Based on the setup costs each ant generates a sequence of items. Afterwards a simple single-stage lot-sizing rule is applied with modified setup costs. This modification of the setup costs depends on the position of the item in the lot-sizing sequence, on the items which have been lot-sized before, and on two further parameters, which are tried to be improved by a systematic search. For small-sized problems ASMLLS is among the best algorithms, but for most medium- and large-sized problems it outperforms all other approaches regarding solution quality as well as computational time. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： ant colony optimization multi-level lot-sizing wagner-whitin algorithm material requirements planning

来源：评论

学校读者我要写书评

暂无评论

Unleashing an ML-based selection criteria for economic lot sizing in a smart batch-type production system

引用

TQM JOURNAL 2024年第1期36卷 90-107页

作者： Kumar, Narinder Singh, Bikram Jit Khope, Pravin Indian Inst Technol Dept Mech Engn Ropar India Maharishi Markandeshwar Deemed Be Univ MM Engn Coll Dept Mech Engn Mullana India Priyadarshini Coll Engn Dept Mech Engn Nagpur Maharashtra India

Purpose Inventory models are quantitative ways of calculating low-cost operating systems. These models can be either deterministic or stochastic. A deterministic model hypothesizes variable quantities like demand and lead time, as certain. However, various types of research have revealed that the value of demand and lead time is still ambiguous and vary unanimously. The main purpose of this research piece is to reduce the uncertainties in such a dynamic environment of Industry 4.0. Design/methodology/approach The current study tackles the multiperiod single-item inventory lot-size problem with varying demands. The three lot sizing policies - Lot for Lot, Silver-Meal heuristic and wagner-whitin algorithm - are reviewed and analyzed. The suggested machine learning (ML)-based technique implies the criteria, when and which of these inventory models (with varying demands and safety stock) are best fit (or suitable) for economical production. Findings When demand surpasses a predicted value, variance in demand comes into the picture. So the current work considers these things and formulates the proper lot size, which can fix this dynamic situation. To deduce sufficient lot size, all three considered stochastic models are explored exclusively, as per respective protocols, and have been analyzed collectively through suitable regression analysis. Further, the ML-based Classification And Regression Tree (CART) algorithm is used strategically to predict which model would be economical (or have the least inventory cost) with continuously varying demand and other inventory attributes. Originality/value The ML-based CART algorithm has rarely been seen to provide logical assistance to inventory practitioners in making wise-decision, while selecting inventory control models in dynamic batch-type production systems.

关键词： Material requirement planning wagner-whitin algorithm Lot for Lot model Silver-Meal heuristic CART algorithm Regression Safety stock Lot size policy

来源：评论

学校读者我要写书评

暂无评论

Lot Size Optimization of Purchased Products 19th

Lot Size Optimization of Purchased Products

引用

19th International Symposium for Production Research, ISPR 2019

作者： Başay, Merve Çelgin, Yağız Can Çelik, Naz Eyüpoğlu, Merve Koç, Furkan Köksal, Pırıl Özgültekin, Ege Kizilay, Damla Arslan Örnek, M. Department of Industrial Engineering Yasar University Bornova Turkey

ISBN: (纸本)9789811509490

In Turkey, Pınar Et is one of the leading companies in meat sector since 1985. Within the scope of senior year project, this paper considers the optimization of lot sizes of auxiliary and packaging materials, purchased by the company. Aim of the study is the minimization of total inventory costs, which include unit purchasing, setup, and holding costs subject to a service level. For this purpose, multi-item dynamic lot sizing models are formulated with time-varying demand, deterministic lead time, with backorders allowed. The first model is formulated by considering Joint Replenishment of items supplied from the same suppliers. The second model is formulated to reflect Vendor-Based minimum lot sizes and rounding quantities to the replenishment quantity. Although these models produce an optimal solution in a reasonable time, a wagner-whitin based heuristic algorithm is developed as an additional solution to the company. All of the models run according to Rolling Horizon (RH) approach, which updates the existing plan at the beginning of each planning period in order to cope with changes in demand and other parameters. As a result of the study, potential savings in holding cost and reduction in planning duration are obtained and are reported. © 2020, Springer Nature Switzerland AG.

关键词： Joint replenishment Minimum order size Multi-item dynamic lot sizing Rolling horizon wagner-whitin algorithm

来源：评论

学校读者我要写书评

暂无评论

Determination of Optimum Inventory Model for Minimizing Total Inventory Cost

引用

Procedia Engineering 2013年 51卷 803-809页

作者： S.M. Samak-Kulkarni N.R. Rajhans Asso. Prof. & Head of Mechanical Engg. Deaprtment S.C.O.E.M Limb. Satara Maharashtra India Professor & Head of Production Engg Department College of Engg Pune Maharashtra India

In most of the medium scale industries, demand is uncertain and difficult to forecast. Hence Ordering in right quantities at right time is always a crucial issue. In this paper; the authors present a model for determining the ordering policy which will minimize the total inventory cost. This paper takes into consideration various models such as lot by lot size, economic order quantity, periodic order quantity, least unit cost, least total cost, least period cost, wagner-whitin algorithm etc. Total annual inventory costs for various items are calculated by each method. The results obtained by applying each model for different items are summarized which shows that wagner-whitin algorithm gives optimum cost in each case.

关键词： wagner-whitin algorithm Inventory Models Inventory costs LFL POQ EOQ LTC LUC LPC

来源：评论

学校读者我要写书评

暂无评论

Two Lot-Sizing algorithms for Minimizing Inventory Cost and Their Software Implementation

引用

INFORMATION 2024年第3期15卷 167页

作者： Arampatzis, Marios Pempetzoglou, Maria Tsadiras, Athanasios Aristotle Univ Thessaloniki Sch Econ Thessaloniki 54124 Greece Democritus Univ Thrace Dept Social Policy Xanthi 67132 Greece

Effective inventory management is crucial for businesses to balance minimizing holding costs while optimizing ordering strategies. Monthly or sporadic orders over time may lead to high ordering or holding costs, respectively. In this study, we introduce two novel algorithms designed to optimize ordering replenishment quantities, minimizing total replenishment, and holding costs over a planning horizon for both partially loaded and fully loaded trucks. The novelty of the first algorithm is that it extends the classical wagner-whitin approach by incorporating various additional cost elements, stock retention considerations, and warehouse capacity constraints, making it more suitable for real-world problems. The second algorithm presented in this study is a variation of the first algorithm, with its contribution being that it incorporates the requirement of several suppliers to receive order quantities that regard only fully loaded trucks. These two algorithms are implemented in Python, creating the software tool called "Inventory Cost Minimizing tool" (ICM). This tool takes relevant data inputs and outputs optimal order timing and quantities, minimizing total costs. This research offers practical and novel solutions for businesses seeking to streamline their inventory management processes and reduce overall expenses.

关键词： inventory cost wagner-whitin algorithm order's cost minimization software implementation lot-sizing problem

来源：评论

学校读者我要写书评

暂无评论

An integrated approach to redesign inventory management strategies for achieving sustainable development of small and medium-sized enterprises: Insights from an empirical study in India

引用

BUSINESS STRATEGY AND DEVELOPMENT 2022年第4期5卷 308-321页

作者： Narkhede, Ganesh Rajhans, Neela SPPU Coll Engn Dept Mfg Engn & Ind Management Pune Maharashtra India

Efforts to incorporate inventory management (IM) strategies in small and mediumsized enterprises (SMEs) are very limited due to the lack of cost-effective and easyto-use techniques. This research article suggests an effective and proven IM strategy that can improve the productivity and competitiveness of SMEs. The purpose of this research article is twofold: first, to develop an integrated IM strategy for SMEs to reduce inventory carrying costs;second, to design individual replenishment policies for each product. This article discusses an integrated approach considering rank order clustering (ROC) technique, a forward version of the wagner-whitin (W-W) lotsizing algorithm, and quantity discounts. First ROC is used to form clusters of different assemblies consisting of common components for aggregating the demand. The W-W algorithm is tested next over 1 year of time horizon followed by quantity discounts. Insights derived from a case study proved that the proposed integrated IM approach could save a substantial amount of total cost compared to the existing purchase policy. In addition, this approach can be a promising approach to determine appropriate replenishment quantities for each planning period. In addition, stock-out situations can be minimized. The novelty of this study is that it proposes a practical, simple-to-implement, and proven IM technique for increasing productivity and achieving sustainable development of SMEs, which are working in growing economies like India.

关键词： inventory management quantity discounts rank order clustering small and medium-size enterprises sustainable development wagner-whitin algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：