Due date reliability is a critical competitive factor for manufacturing companies and hence a central objective in logistics. Nonetheless, many businesses are unable to meet their own schedule reliability standards. The reasons for the insufficient achievement of logistical targets are inherent in the diverse and interdependent influential factors that affect schedule reliability. However, logistical models enable to determine these interdependencies. This paper introduces the operating curves of output lateness of a single workstation for various sequencing methods. The parameter studies comprise the preliminary work necessary to provide a complete, model-based description of production schedule deviations.
Kurzfassung
Der Plan-Abgang eines Arbeitssystems – definiert durch Plan-Termine und -Mengen – wird maßgeblich durch die Aufgaben der Losgrößenbildung sowie der Durchlaufterminierung festgelegt und besitzt als planungsrelevante Stellgröße einen erheblichen Einfluss auf das logistische Systemverhalten. Auf Basis der Verfahren der Kapazitätsabstimmung können die Schwankung des Plan-Abgangs reduziert und die Termintreue des Arbeitssystems erhöht werden. In diesem Beitrag werden ein analytisches Modell zur Beschreibung der Auswirkung einer Belastungsanpassung auf den Plan-Abgang vorgestellt und zukünftige Forschungsziele in diesem Bereich skizziert.
Enterprises are increasingly being challenged by a high diversity of variants, shortening product life cycles, and growing cost pressure. One possibility of facing these challenges is to improve the efficiency of logistics. As the borderline between a company's production with and without reference to a specific customer order, the customer order decoupling point (CODP) is a good position to significantly increase the efficiency of logistics. Apart from shortening lead times, it may also diminish the lateness at the end of the supply chain. There is currently no comprehensive analytical description of actual schedule variances within a supply chain. This paper presents a Lateness Histogram to serve as an analytical model designed to describe the mean and maximum delivery delay in a store (e.g. CODP). It is fed with the distribution of schedule and quantity variances at the store input as well as the distribution of demand at the store output. Thus, the model is another step towards analytically describing the potentials of implementing a CODP or moving it along the production process in order to obtain a possibility of quantifying the amount of lateness reduction as the CODP moves downstream. This is followed by empirical simulation studies aimed at validating the model.
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