This paper investigates and enhances the suitability of the ArchiMate enterprise architecture modeling language to support the modeling of business strategy concepts and architecture-based approaches to IT portfolio valuation. It gives an overview of existing strategy and valuation concepts and methods in the literature and motivates the need for enterprise architecture and business requirements modeling to capture these aspects as well. This overview results in the identification of strategy and value related concepts, such as value, risks, resources, capabilities, competencies and constraints. The paper provides an analysis of the extent to which ArchiMate may support some of the above-mentioned concepts and extends it with the missing concepts. The proposed language extension is formalized in terms of a metamodel fragment, which is aligned with the ArchiMate metamodel. The approach is also illustrated by means of an application portfolio consolidation case study in which we demonstrate how a constrained optimization valuation method can be applied to architecture models enhanced with the new concepts.

In this study, we argue that important IT change processes affecting an organization's enterprise architecture are also mirrored by a change in the organization's business model. An analysis of the business model may establish whether the architecture change has value for the business. Therefore, in order to facilitate such analyses, we propose an approach to relate enterprise models specified in ArchiMate to business models, modeled using Osterwalder's Business Model Canvas. Our approach is accompanied by a method that supports business model-driven migration from a baseline architecture to a target architecture and is demonstrated by means of a case study. Keywords Business modeling• Enterprise architecture • Business Model Canvas • ArchiMate • Business Model Ontology • Cost/revenue analysis 1 Introduction Many expensive IT innovation projects suffer from the fact that the technical solutions they propose never materialize.

No abstract

No abstract

In this chapter, we consider synchromodal planning of transport orders with the objective to minimize costs, delays, and CO 2 emissions. Synchromodal planning is a form of multimodal planning in which the best possible combination of transport modes is selected for every transport order. The underlying problem is known as the multi-objective k-shortest path problem, in which we search for the k-shortest paths through a multimodal network, taking into account time-windows of orders, schedules for trains and barges, and closing times of hubs. We present a synchromodal planning algorithm that is implemented at a 4PL service provider located in the Netherlands. We illustrate our approach using simulation with order and network data from this logistics service provider. On the corridor from the Netherlands to Italy, an average cost reduction of 10.1 % and a CO 2 reduction of 14.2 % can be achieved with synchromodal planning.