Search results

1 – 10 of over 90000
Article
Publication date: 1 December 1999

Khairy A.H. Kobbacy and Yansong Liang

This paper is concerned with the development of an intelligent inventory management system which aims at bridging the substantial gap between the theory and the practice…

5437

Abstract

This paper is concerned with the development of an intelligent inventory management system which aims at bridging the substantial gap between the theory and the practice of inventory management. The proposed system attempts to achieve this by providing automatic demand and lead time pattern identification and model selection facilities. The process of demand pattern identification together with the statistical tests used is discussed. The models incorporated cover deterministic demand models including: constant, quasi‐constant, trended and seasonal demand as well as stochastic demand models. This paper includes an empirical evaluation of the system on real data from the manufacturing and airline industries which shows that this system can lead to significant savings in inventory cost.

Details

Integrated Manufacturing Systems, vol. 10 no. 6
Type: Research Article
ISSN: 0957-6061

Keywords

Article
Publication date: 1 September 1992

Ann Marucheck and Marilyn McClelland

One strategic design parameter in capacity management is thesetting of a planned level of capacity utilization at which themanufacturing operation will operate long term…

Abstract

One strategic design parameter in capacity management is the setting of a planned level of capacity utilization at which the manufacturing operation will operate long term. Seeks to examine systematically the implications of varying levels of capacity utilization within an assemble‐to‐order firm through experiments with a simulation model. Four performance measures and a total weekly cost measure are analysed under nine capacity utilization levels, two demand patterns, and 11 ratios of the costs of idle capacity to the costs of late orders. The prescribed capacity utilization level is a function of the firm′s competitive goals, demand pattern, and cost structures.

Details

International Journal of Operations & Production Management, vol. 12 no. 9
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 1 May 2002

Kenneth J. Klassen and Thomas R. Rohleder

Service managers are continually challenged with balancing customer demand and service capacity. Recent studies have raised awareness of various demand and capacity…

13501

Abstract

Service managers are continually challenged with balancing customer demand and service capacity. Recent studies have raised awareness of various demand and capacity management practices available to services, but little numerical work has been done to identify how these decisions work together and how they relate to one another. For instance, reducing prices may attract customers during a slow period, but the extent of impact this should have on cross‐training staff is not clear. A simulation based on theoretical and empirical insights explores the impact of various decisions on profitability and operations. The decisions modelled include the impact of: automation, customer participation, cross training employees, informing customers about the operation, and others. It is shown that demand and capacity decisions do indeed impact on each other – sometimes in ways that are not initially obvious. Results provide useful thought‐starters for service managers striving to improve their operations.

Details

International Journal of Operations & Production Management, vol. 22 no. 5
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 6 June 2016

Rehab Ali and Ahmed Deif

– The purpose of this paper is to present a dynamic model to measure the degree of system’s leanness under dynamic demand conditions using a novel integrated metric.

Abstract

Purpose

The purpose of this paper is to present a dynamic model to measure the degree of system’s leanness under dynamic demand conditions using a novel integrated metric.

Design/methodology/approach

The multi-stage production system model is based on a system dynamics approach. The leanness level is measured using a new developed integrated metric that combines efficiency, WIP performance as well as service level. The analysis includes design of experiment technique at the initial analysis to examine the most significant parameters impacting the leanness score and then followed by examining different dynamic demand scenarios. Two scenarios were examined: one focussed low demand variation with various means (testing the impact of demand volumes) while the second focussed on high demand variation with constant means (testing the impact of demand variability).

Findings

Results using the data from a real case study indicated that given the model parameters, demand rate has the highest impact on leanness score dynamics. The next phase of the analysis thus focussed on investigating the effect of demand dynamics on the leanness score. The analysis highlighted the different effects of demand variability and volumes on the leanness score and its different components leading to various demand and production management recommendations in this dynamic environment.

Research limitations/implications

The presented lean management policies and recommendations are verified within the scope of similar systems to the considered company in terms of manufacturing settings and demand environment. Further research will be carried to extend the dynamic model to other dynamic manufacturing and service settings.

Practical implications

The developed metric can be used not only to assess the leanness level of the systems which is very critical to lean practitioners but also can be used to track lean implementation progress. In addition, the presented analysis outlined various demand management as well as lean implementation policies that can improve the system leanness level and overall performance.

Originality/value

The presented research develops a novel integrated metric and adds to the few literature on dynamic analysis of lean systems. Furthermore, the conducted analysis revealed some new aspects in understanding the relation between demand (variability and volume) and the leanness level of the systems. This will aid lean practitioners to set better demand and production management policies in today’s dynamic environment as well as take better decisions concerning lean technology investments.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 5
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 January 1995

Michael J. Brusco and T. Reid Johns

Labour scheduling heuristic methods have been applied in serviceoperating environments using both actual and synthetic demand patterns.Two important characteristics of…

1165

Abstract

Labour scheduling heuristic methods have been applied in service operating environments using both actual and synthetic demand patterns. Two important characteristics of these demand patterns are (1) demand smoothness and (2) mean demand. Investigates the effects of demand smoothness and mean demand on the solution quality associated with four prominent heuristic methods. Indicates that both characteristics can affect the performance of the heuristic methods. An especially important finding is that the two methods which use information from linear programming solutions are far more robust to changes in the degree of demand smoothness. Concludes that managers should consider linear programming methods as an alternative or supplement for making their scheduling decisions. Also recommends that labour scheduling researchers use multiple levels of mean demand and demand smoothness when evaluating new heuristic methods.

Details

International Journal of Operations & Production Management, vol. 15 no. 1
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 5 March 2018

Hadi Rafiei Darani and Hadi Asghari

The purpose of this paper is to study determining factors of international tourism demand in Middle Eastern countries.

502

Abstract

Purpose

The purpose of this paper is to study determining factors of international tourism demand in Middle Eastern countries.

Design/methodology/approach

Panel data pattern is used for data analysis of 1995 to 2013.

Findings

Results indicate variables like trade freedom index and gross domestic product (GDP) have positive and significant impact upon tourism demand of the countries of the region. Purchasing power parity (PPP) and GDP per capita are indicators which affect the tourism demand rate in Middle East negatively.

Originality/value

It is estimated that Middle East region will claim for the bulk of tourist arrivals in following years. Therefore, this study is vital for destination managers to plan for demand in future.

Details

International Journal of Culture, Tourism and Hospitality Research, vol. 12 no. 1
Type: Research Article
ISSN: 1750-6182

Keywords

Article
Publication date: 1 March 2002

Xiande Zhao, Jinxing Xie and W.J. Zhang

This paper presents a study on the impacts of information sharing and ordering co‐ordination on the performance of a supply chain with one capacitated supplier and…

6023

Abstract

This paper presents a study on the impacts of information sharing and ordering co‐ordination on the performance of a supply chain with one capacitated supplier and multiple retailers under demand uncertainty. In particular, a computer model is proposed to simulate inventory replenishment decisions by the retailers and production decisions by the supplier under different demand patterns and capacity tightness. It is found that information sharing and ordering co‐ordination significantly impact the supply chain performance in terms of both total cost and service level. It is also found that the value of sharing information and ordering co‐ordination is significantly affected by demand patterns and capacity tightness. Guidelines are developed for companies to share information and co‐ordinate orders under different conditions. These guidelines can help companies reduce costs and improve customer service levels in the supply chain.

Details

Supply Chain Management: An International Journal, vol. 7 no. 1
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 9 March 2021

Guilherme Fonseca Travassos, Alexandre Bragança Coelho and Mary Paula Arends-Kuenning

The main objective of this paper is to analyze patterns of consumption expenditure and the effects of income, prices and socioeconomic and demographic factors on demand

Abstract

Purpose

The main objective of this paper is to analyze patterns of consumption expenditure and the effects of income, prices and socioeconomic and demographic factors on demand among elderly- and young-adult-headed households in Brazil.

Design/methodology/approach

The authors estimated a Quadratic Almost Ideal Demand System demand system using the main household consumption good groups – food, housing, clothing, transportation, health care and other expenses – with data from three Brazilian Household Budget surveys.

Findings

The study results showed that elderly- and young-adult-headed households have different consumption patterns. The consumption of food, transportation and health care was more price-sensitive for households headed by the elderly, while higher income increases health care expenses in elderly-headed households to a greater extent than it does in younger-headed households.

Research limitations/implications

The limitations are due to the structure of the data used, such as the effects of seasonality and individualized demand analyses, and sample design in the estimates. However, due to the structure of the demand models, which when estimating by seemingly unrelated regressions do not allow to take into account the sample design.

Practical implications

As a consequence of population aging, the Brazilian economy will experience changes in the composition of household consumption, mainly for food, housing, transportation and health-care-related products.

Originality/value

This paper fulfills the lack of studies that analyze the consumption patterns and how demand varies across different types of elderly-headed households in a developing country, such as Brazil.

Details

International Journal of Social Economics, vol. 48 no. 5
Type: Research Article
ISSN: 0306-8293

Keywords

Content available
Article
Publication date: 14 September 2021

Kyle C. McDermott, Ryan D. Winz, Thom J. Hodgson, Michael G. Kay, Russell E. King and Brandon M. McConnell

The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part…

Abstract

Purpose

The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.

Design/methodology/approach

This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.

Findings

This research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.

Research limitations/implications

This research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.

Originality/value

This research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.

Details

Journal of Defense Analytics and Logistics, vol. 5 no. 2
Type: Research Article
ISSN: 2399-6439

Keywords

Article
Publication date: 1 June 2006

Matteo Kalchschmidt, Roberto Verganti and Giulio Zotteri

In many industrial contexts, firms are encountering increasingly uncertain demand. Numerous factors are driving this phenomenon; however, a major change that is spreading…

7066

Abstract

Purpose

In many industrial contexts, firms are encountering increasingly uncertain demand. Numerous factors are driving this phenomenon; however, a major change that is spreading among different sectors is the ever‐growing attention to customers. Companies have identified that customers are critical not only because they directly influence the success of specific products or firms, but also because they play a fundamental role in many internal processes. Although the role of customers in business processes has been deeply analysed, the issue of demand forecasting and the role of customers has not been fully explored. The present study aims to examine the impact of heterogeneity of customer requests on demand forecasting approaches, based on three action research cases. Based on the analysis of customer behaviour, an appropriate methodology for each case is designed based on clustering customers according to their demand patterns.

Design/methodology/approach

Objectives are achieved by means of three action research case studies, developed in cooperation with three different companies. The paper structures a general methodology based on these three experiences to help managers in better dealing with uncertain demand.

Findings

By means of proper analysis of customers' heterogeneity and by using simple statistical techniques such as cluster analysis, forecasting performance can significantly improve. In these terms, this work claims that focusing on customers' heterogeneity is a relevant topic both for practitioners and researchers.

Originality/value

The paper proposes some specific guidelines to forecast demand where customers' differences impact significantly on demand variability. In these terms, results are relevant for practitioners. Moreover, the paper claims that this issue should be better analysed in future researches and proposes some guidelines for future works.

Details

International Journal of Operations & Production Management, vol. 26 no. 6
Type: Research Article
ISSN: 0144-3577

Keywords

1 – 10 of over 90000