Impact of forecasting error on the performance of capacitated multi-item production systems

Xie, Jinxing; Lee, T. S.; Zhao, Xiande

doi:10.1016/j.cie.2003.12.020

Cited by 46 publications

(20 citation statements)

References 27 publications

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“…Therefore, once facing alternative and distinct prediction method possibilities, one must resort to performance indicators to identify which methodology best fits each given case. Although a number of comparative studies siding different demand prediction methods have been undertaken and reported in existing literature, findings do not reveal the existence of a consensus, but rather, conclusions are contradictory (Chu & Zhang, 2003;Xie, Lee & Zhao, 2004).…”

Section: Demand Forecast At the Foodstuff Retail Segment:a Strategic mentioning

confidence: 99%

Previsão de demanda no varejo alimentício como ferramenta estratégica de sustentabilidade em uma pequena empresa brasileira

Veiga

Catapan

et al. 2013

FSRJ

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Demand forecasting plays an increasingly relevant role within competitive and globalized marketplaces, in as much as operations planning and subsequent transition into a sustainable chain of supplies, is concerned. To this effect, the purpose of this study is to present the application of demand forecasting as a strategic sustainability tool at a Brazilian SME. Therefore, this is a descriptive, expost facto and cross-cut, sectional time case study, which employs qualitative and historical quantitative and direct observational data and that utilizes, as both indicators of the level of service offered to consumers and of opportunity costs the Sustentabilidade.

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Section: Demand Forecast At the Foodstuff Retail Segment:a Strategic mentioning

confidence: 99%

Previsão de demanda no varejo alimentício como ferramenta estratégica de sustentabilidade em uma pequena empresa brasileira

Veiga

Catapan

et al. 2013

FSRJ

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show abstract

“…If the error increases from zero to a positive value, the total cost, the instability of the production programming, and the level of service increase (Xie, Lee and Zhao, 2004). A positive bias usually improves the level of service of the system because it generates a better use of capacity and produces a larger quantity of products than necessary.…”

Section: Formula Applicationmentioning

confidence: 99%

“…The Brazilian market for food products has been a subject of research only in recent years (Queiroz and Cavalheiro, 2006;Higuchi, 2006;Medeiros et al, 2006). These scientific works, and the level of service offered (Xie, Lee, and Zhao, 2004 on production programming, and on the level of service rendered (Xie et al, 2004), whereas others demonstrate opposite results (Price and Sharp, 1985;Ho and Ireland, 1998). Kerkanen, Korpela, and Huiskonen (2009) state that the real impact of demand forecast errors is only possible when the evaluation includes specific systematic characteristics of each company.…”

Section: Formula Applicationmentioning

confidence: 99%

A ACURACIDADE DOS MODELOS DE PREVISÃO DE DEMANDA COMO FATOR CRÍTICO PARA O DESEMPENHO FINANCEIRO NA INDÚSTRIA DE ALIMENTOS <br><strong>DOI:10.7444/fsrj.v2i2.58</strong>

Veiga

Duclós

2010

FSRJ

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Every organization needs to balance their production capacities with demand. The role of demand forecasting is to assist in the organization's strategic planning; this process allows administrators to anticipate the future and plot an appropriate course of action. On its own, however, a system of demand forecasting is not enough. It is the quality of information obtained by this system which enables the organization to achieve better operational planning. In this context, this paper presents case study P R O F U T U R O : F U T U R E S T U D I E S P R O G R A MScientific editor: James Terence Coulter Wright Evaluation: Doublé Blind Review by SEER

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“…The results show a strong dependency between MPS instability and lot-sizing rules as well as frozen interval selection. Some works make a similar study for different lot-sizing problems, see Xie et al (2003Xie et al ( , 2004.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of Less Master Production Schedule Nervousness Model

Herrera¹,

Thomas²

2009

IFAC Proceedings Volumes

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In production decision making systems, Master Production Schedule (MPS) states the requirements for individual end items by date and quantity. The solution sensitivity to demand forecast changes, unforeseen supplier and production problem occurrences, is known as nervousness. This feature cause undesirable effects at tactical and operational levels. Some of these effects are production and inventory cost increases and, also, negative impacts on overall and labor productivity. To tackle this problem, we proposed a Mixed Integer Programming (MIP) model where nervousness reduction is carry out finding minimal suboptimal solutions. We perform a simulation under rolling planning horizon environment considering stochastic demand. Results of simulation show that, at each time demand changes take place the model can adjust the solution to achieve less nervousness without a significative change in cost performance.

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Impact of forecasting error on the performance of capacitated multi-item production systems

Cited by 46 publications

References 27 publications

Previsão de demanda no varejo alimentício como ferramenta estratégica de sustentabilidade em uma pequena empresa brasileira

Previsão de demanda no varejo alimentício como ferramenta estratégica de sustentabilidade em uma pequena empresa brasileira

A ACURACIDADE DOS MODELOS DE PREVISÃO DE DEMANDA COMO FATOR CRÍTICO PARA O DESEMPENHO FINANCEIRO NA INDÚSTRIA DE ALIMENTOS <br><strong>DOI:10.7444/fsrj.v2i2.58</strong>

Simulation of Less Master Production Schedule Nervousness Model

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