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2013 | 9 | nr 2 | 73--90
Tytuł artykułu

Influence of the Demand Information Quality on Planning Process Accuracy in Supply Chain : Case Studies

Treść / Zawartość
Warianty tytułu
Wpływ jakości informacji o popycie na dokładność procesu planowania w łańcuchu dostaw : studia przypadku
Języki publikacji
EN
Abstrakty
Wstęp: Identyfikacja i analiza czynników wpływających na dokładność procesu planowania popytu w łańcuchu dostaw jest jednym z ważniejszych problemów wpływających na efektywność przepływów materiałowych i informacyjnych.
Metody: W oparciu o badania procesu planowania popytu autorzy definiują główne elementy wpływające na poziom funkcjonowania łańcucha dostaw oraz badają możliwe zależności pomiędzy jakością informacji o popycie oraz dokładnością procesu planowania popytu. Następnie, przedstawiono przegląd literatury badanego obszaru naukowego.
Rezultaty: W oparciu o badania literatury, scharakteryzowano wpływ czynników na dokładność planu popytu w poszczególnych ogniwach łańcuchów dostaw analizowanych przedsiębiorstw produkcyjnych. Rozpatrzono trzy studia przypadków, w których rozpatrzono trzy przedsiębiorstwa produkcyjne z różnych branż. Skupiono się na procesie planowania popytu w analizowanych łańcuchach dostaw. Celem było określenie dokładności przyszłych planów sprzedaży w poszczególnych ogniwach łańcucha dostaw oraz czynników je zakłócających. W oparciu o analizę procesów planowania popytu przykładowych przedsiębiorstw produkcyjnych, zdefiniowano możliwe miary jakości, które mogą być wykorzystane podczas prognozowania popytu klienta.
Wnioski: Jednym z ważniejszych i trudniejszych obszarów planowania w przedsiębiorstwach jest planowanie popytu. Związane jest to z faktem, że błędy popełnione w procesie planowania przekładają się na funkcjonowanie całego łańcucha dostaw. Przedstawione studia przypadków pokazują, że wiele czynników ma wpływ na poprawność procesu planowania popytu w łańcuchu dostaw, jak np. technologie informacyjne, czas dostawy, czy liczba dostarczanych materiałów. Jednocześnie, można zauważyć iż model gromadzenia informacji rynkowej również jest istotnym zagadnieniem w procesie planowania popytu. (abstrakt oryginalny)
EN
Background: Identification and analysis of factors that affect the accuracy of demand planning process across the supply chain is one of the most important problems which influence the effectiveness of its material and information flows.
Material and methods: On the basis of demand planning process investigation authors define the main elements affecting the right supply chain performance level and investigate the possible connections between demand information quality and demand planning process accuracy. Later, an overview of some recent developments in the analyzed research area is provided.
Results: Based on the literature review, there is described the defined factors impact on the accuracy of demand plan in each echelon for case companies. There are considered three cases. The examples illustrate supply chains of different manufacturing companies. The focus is placed on demand planning across the supply chains. The issue of determining the accuracy of future sales plans in each echelon of supply chains and factors affecting it are raised. Taking into account the case companies demand planning process analyses, there are defined possible quality measures, that are possible to be used when forecasting the customer demand.
Conclusions: One of the most important and difficult planning area in the companies is becoming planning demand. Errors in planning are reflected not just in the business resource planning but also in the entire supply chain. Presented cases show that many factors affect the proper demand planning process in the supply chain, like e.g. information technologies, lead-time, or number of supplied materials. As it can be seen from the case studies, the model of collecting information from the market plays an important role in the demand planning process. (original abstract)
Czasopismo
Rocznik
Tom
9
Numer
Strony
73--90
Opis fizyczny
Twórcy
  • Wrocław University of Economics, Poland
  • Wroclaw University of Technology
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