Supply chain development model

The first phase is called the Construction Phase and aims to identify the DDSC components and develop the Demand Driven Supply Chain Maturity Model, and comprehends three major steps, as described below ... 

It will not be presented the detailed VICS assessment in the body of this book. However, it will be considered as a key input when developing the E)emand Driven Supply Chain Maturity Model in Chap. 5. 

Step 5—Modeling and analysis. Interrelated qualitative and quantitative supply chain configuration models are developed and applied according to the experimental plan established in Step 3. Models are used to explore different aspects of the supply chain configuration problem. Additionally, combinations of models (i.e., hybrid models) are often considered. Verification and validation of models is also a part of this step. 

The case specific model is constructed for a specific supply chain cmifiguration initiative and it uses elements from the generic supply chain configuration model. Development of the case specific model is illustrated using the running example of the see Bike supply chain. 

The case specific model is intended for analysis of the particular supply chain problem and also serves as input to development of other supply chain configuration models. Depending on the purpose, it has different levels of detail ... 

A conceptual representation of the supply chain configuration problem is elaborated by using the enterprise modeling techniques. The configuration problem is modelled at the domain level and at the case level, where the generic concepts are defined at the domain level and instances specific to a particular supply chain are defined at the case specific level. The domain level model is not developed as a meta-model because it can be directly used to create generic supply chain configuration models and other elements can be added, if necessary. 

Other multi-objective supply chain configuration models have been developed by Li and O Brien (1999), Sabri and Beamon (2000), Talluri and Baker (2002), Brandenburg (2015) and Das and Rao Posinasetti (2015) (see Chap. 3). 

The supply chain configuration methodology has been applied to analyze configuration challenges at the ICT distribution company. The company s supply chain has evolved in a step-by-step manner and the network development decisions have been made on a case-by-case basis. Consequently, the supply chain configuration models developed in the case study help to establish a systematic basis for further supply... 

This manner of Integration is related to the supply chain leader using professional tools to configure the supply chain s qseration. Und this solution, dedicated groujK of employees handle the modelling and supply chain development processes. 

In the present work, we focus on the operational planning and control of integrated production/distribution systems under product demand uncertainty. For the purposes of our study and the time scales of interest, a discrete time difference model is developed. The model is applicable to networks of arbitrary structure. To treat demand uncertainty within the deterministic supply chain network model, a receding horizon, model predictive control approach is suggested. The two-level control algorithm relies on a... 

The JPL managers faced a situation similar to what supply chain partners now encounter. That is, how do you measure supply chain cost Table 25.12 describes some of the structural problems encountered and the consequences. To put everyone on a common basis, JPL developed a common cost model. Its purpose was to eliminate these differences when evaluating the underlying technology needed to produce solar cell systems. The model, called SAMIS for Standard Assembly Line Industry Simulation, used a structure that s adaptable for supply chain cost modeling. Figure 25.7 is a simplified structure of the SAMIS model. 

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