I have read several articles by Mark Daskin (also reviewed another one here). So with him on the author list of today’s paper I think one can expect a clearcut research question, some kind of mathematical model, a fitting solution method and a definite answer to the underling problem. Well, let’s have a look!
I have been reading a lot of interesting articles lately, hence I could not post as often as I wanted. I found an article by van der Vorst and Beulens (2002; “Identifying sources of uncertainty to generate supply chain redesign strategies”) which opens a new perspective on the SCRM issue. I am going to publish a review later this week and link it here.
Today will be a one-article-long-excursion in the world of production planning models.
Supply chain management of course should take a high level view of the supply and demand networks, nonetheless there is probably no supply chain which will work without physical products and most even have one or more at their core.
So production planning is a key part of a companies success.
Jiang et al. (2009) wrote about job dissatisfaction of workers at suppliers in developing countries.
h5. Goal & Methodology
The goal of the study was to analyze risk in a global supply chain, especially originating from labor dissatisfaction and turnover. The results were obtained using a survey of workers in the Chinese Pearl River Delta region. The methodology is presented precisely and comprehensively.
Today we have a look at current research regarding the improvement of resilience within a supply chain.
In their 2012 paper “Supply chain redesign for resilience using simulation” Carvalho et al. analyze supply chain resilience on the basis off a Portuguese automotive parts manufacturer.