Nowadays green logistics is an often heard buzz-word, but already eleven years ago Beamon published an article about the challenges with creating Green Supply Chains.
Traditional vs. Extended Supply Chain
A traditional supply chain has been mostly a one-way street. The issues analyzed were eg. the number of echelons, buyer-supplier relationships and inventory levels.
The journals with relevant articles for Supply Chain Risk Management can be very diverse. First one would think about which fields and respective journals are relevant and where can one expect to find articles concerning supply chain risks?
Today I want to describe yet another supply chain case study where Monte Carlo simulation is used as decision support for strategic / tactical supply chain decisions.
Risk in supply chains can be included in several different ways into the decision making process.
No Risk
A statement in many supply chain models is that some/most/all parameters of the model are fixed (e.g. fixed demand, zero probability of a hurricane).
The result is, if the real value of this parameter diverges from the assumptions, the results of the model will be flawed to a certain degree (up to completely unusable).
In research the decisions on the product and the corresponding supply chain are usually separated. This happens for a variety of reasons, one may be the reduction of problem complexity, another that the research focus is on a brown field approach where the products are seen as given.
What are the major obstacles to a successful merger? Today I’ll have a look at the 2003 article by Langabeer and Seifert. The authors argue that supply chain integration plays a major role before, during and after the merger.
The article reviewed here takes a look at typical biases in supply chain demand planning and how to avoid it. This work could prove very valuable for many companies who rely on manually adjusted forecasts.
Usually the forecasting process uses two steps:
1) statistical forecast by the forecasting system
2) manual adjustment to include additional effects (eg. additional analysis of demand pattern not included in step 1)
