TY - JOUR

T1 - Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives

AU - Maier, Janine Tatjana

AU - Heuer, Tammo

AU - Stoffersen, Henrik

AU - Nyhuis, Peter

AU - Schmidt, Matthias

N1 - Conference code: 55

PY - 2022/1/1

Y1 - 2022/1/1

N2 - The order processing strategy directly influences the economic and logistic objectives of manufacturing companies. In industrial practice, the order processing strategy is usually chosen based on a few primarily qualitative decision criteria or employees’ experience. The increasingly volatile markets require a differentiated decision of the order processing strategy for each product and a continuous review of the decisions made. The high number of factors influencing the decision of order processing strategy and a wide range of products offered by manufacturing companies make it impossible to manually make a fast and at the same time holistic decision. The digitalization and the increasing availability of data and its quality provide the basis for developing a decision support system. This paper presents an approach for a data based analysis of order processing strategies. As logistic models reflect the interdependencies of conflicting economic and logistic objectives, they are applied to derive the costs of the strategies based on desired adherence to the delivery time and the desired service level of the finished goods store. In addition to the description of the procedure for comparing different order processing strategies, the transfer of the theoretical model into a software demonstrator is outlined. A case study is presented to show the practicality of the proposed approach.

AB - The order processing strategy directly influences the economic and logistic objectives of manufacturing companies. In industrial practice, the order processing strategy is usually chosen based on a few primarily qualitative decision criteria or employees’ experience. The increasingly volatile markets require a differentiated decision of the order processing strategy for each product and a continuous review of the decisions made. The high number of factors influencing the decision of order processing strategy and a wide range of products offered by manufacturing companies make it impossible to manually make a fast and at the same time holistic decision. The digitalization and the increasing availability of data and its quality provide the basis for developing a decision support system. This paper presents an approach for a data based analysis of order processing strategies. As logistic models reflect the interdependencies of conflicting economic and logistic objectives, they are applied to derive the costs of the strategies based on desired adherence to the delivery time and the desired service level of the finished goods store. In addition to the description of the procedure for comparing different order processing strategies, the transfer of the theoretical model into a software demonstrator is outlined. A case study is presented to show the practicality of the proposed approach.

KW - Data analysis

KW - Order processing strategies

KW - Interdependencies

KW - Decision-making

KW - Software demonstrator

KW - Management studies

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85132282129&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2022.04.054

DO - 10.1016/j.procir.2022.04.054

M3 - Conference article in journal

VL - 107

SP - 332

EP - 337

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

T2 - 55th CIRP Conference on Manufacturing Systems 2022

Y2 - 29 June 2022 through 1 July 2022

ER -