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The purpose of the study is to describe the implications of strategic lead times (SLTs) for return on investment (ROI).

This study was part of an interactive research project and is based on the logic of theory application leading to theory building. It uses a multiple case study with five holistic single cases. Empirical data (ED) have mainly been collected from interviews and focus groups.

The length of and uncertainty in SLTs have implications for companies' financial performance. These implications vary in strength and can be either direct or indirect. These findings are incorporated into a framework on SLTs' implications for ROI.

The presented array of SLTs' implications for ROI could be further investigated, focussing on their strength. Additionally, it would be interesting to substantiate the findings in the context of environmental and social sustainability (i.e. the triple bottom line).

The findings offer practitioners a rich description and understanding of SLTs' actual implications for financial performance in terms of ROI. This knowledge can support practitioners in analysing supply chain designs based on financial performance.

Using a combination of a relative financial performance measure (ROI) and a set of SLTs (systems perspective), this study focuses on SLTs' actual implications for ROI. The findings provide evidence that different sections of a supply chain can have different implications for revenue, cost and investment (i.e. the three absolute measures related to ROI).

The integration of supply chains together with the disintegration of individual actors in the supply chain shifts the focus from actors to challenges in the interaction between actors. This paper aims to identify risk strategies for different supplier interactions in triadic configurations to outline supply strategies.

Companies participating in a research project recounted the challenges they faced regarding the integration of customer order-based management and supply from a triad perspective. Six triad configurations were identified, based on the literature, resulting in three risk strategies, which were empirically illustrated in practice by the participating companies.

A key finding is that a triad perspective for a customer-differentiated approach to supplier interaction results in a material classification that highlights the circumstances in which to apply “balance efficiency”, “postpone”, “balance responsiveness” and “speculate” supply strategies.

The research has focused on process drivers and controllability, and the results may require careful interpretation when there is a mix of standardized and customized products because further interaction differentiation may then be required.

The strategies developed herein provide guidelines for differentiated supplier interaction with explicit focus on triads where customer actors directly influence supplier actors. This approach highlights how outsourcing must be carefully executed when supplier actors are involved in delivery to customer orders.

The paper sheds new light on how customer requirements impact supplier interaction in terms of decoupling points related to both delivery strategy and control strategy. The study also presents a novel application of the Kraljic matrix in in terms of risk strategies in different triad configurations.

The purpose of the paper is to describe ambidextrous learning in organizations within the customer order-based context (COBC), here based on a dynamic view of work processes. The study focuses on how organizations can learn while working with customer orders, considering learning in organizations as both a process and an outcome.

This conceptual article focuses on learning in the COBC, where the individual customer requirements represent a key input into the organization’s work processes, thus limiting the possibilities to plan and standardize. The COBC brings about challenges and potentials for learning in organizations where task variety and complexity are high and in which the contradictory interplay between efficiency and responsiveness is apparent not only at a strategic level but also at an operative level in the customer order fulfillment processes. Depending on the variations in tasks and parallel complex work processes between different units in the organization, the ambidextrous learning dynamic can appear in the COBC.

Five propositions were made from the analysis: Proposition 1: Learning in the COBC can occur both in real-time but also in retrospect and with sporadic and recurrent interventions. Proposition 2: Learning in the COBC can occur for, as well as from, customer order processes. Proposition 3: Learning in the COBC varies and will depend on the delivery strategy. Proposition 4: Learning can be stimulated by the variation in priorities among customer orders in the COBC because the work characteristics for the back office and front office differ between customer order fulfillment processes. Proposition 5: Learning in the COBC can occur both within the back office and front office but also between these organizational units. The paper discusses the importance of building learning infrastructure in COBC and how that can be supported by a suggested learning office.

The present study demonstrates the importance of functions being able to act both as back office and front office in relation to delivery strategy. It also shows the ambidextrous learning process for the sake of improving both the internal efficiency and external effectiveness across the organization.

To provide an overview of how a number of frequently used smoothing‐based forecasting techniques can be modelled for use in dynamic analysis of production‐inventory systems.

The smoothing techniques are modelled using transfer functions and state space representation. Basic control theory is used for analysing the dynamic properties.

A set of expressions are derived for the smoothing techniques and dynamic properties are identified.

Dynamic properties are important in many applications. It is shown that the different smoothing techniques can have very different influences on the dynamic behaviour and therefore should be considered as a factor when smoothing parameters are decided on.

Dynamic behaviour of production‐inventory systems can be analysed using control theory based on, e.g. transfer functions or state space models. In this paper a set of models for five common smoothing techniques are analysed and their respective dynamic properties are highlighted.

A production‐inventory system based on a model proposed by Axsäter is examined with the purpose of understanding the dynamic properties of the model.

The information flow concept is discussed and a dynamic analysis using a system simplification approach is carried out to achieve an understanding of the dynamic behaviour of the system. Finally, the information flow is examined and analysed from a hierarchical perspective.

The model is extended to include an order decision rule and a production unit and it is shown that the extended model has the capability to represent the dynamics of a number of different system management principles. The three different model instances of base stock, kanban and material requirements planning character are analysed.

Dynamic modelling of production‐inventory and supply chain models are usually analysed at an aggregate level not involving any complex relations of materials or capacities. In this paper, this line of research is merged with an approach based on multiple information channels using matrix representation and it is shown how a system simplification approach can be used for this purpose.

The concept of the customer order decoupling point (CODP) has been used in many different contexts as an important structural concept for the traditional forward supply chain. The CODP is rarely explicitly applied in reverse supply chain management and the purpose of this paper is to show that the CODP can be an important corner stone of a framework for analysis of the closed‐loop supply chain containing both forward and reverse material flows.

Conceptual similarities are identified using analogies between forward and reverse supply chains. First, the concepts are discussed in their original context of forward flows and thereafter the concepts are applied on reverse flows. Finally, a holistic closed‐loop model is established.

The conventional CODP framework for forward flow supply chains can be extended to cover also reverse material flows and therefore providing a foundation for a more comprehensive discussion of closed‐loop supply chains useful in both education, research, and industrial applications. Using the suggested extended framework it is possible to identify nine fundamental supply chain configurations.

Differentiating between demand driven and forecast driven activities plays a critical role in practical supply chain management and this paper highlights that this approach also can be applied to closed‐loop supply chains and therefore extending the reach of the toolbox previously developed for the forward supply chain.

The concept CODP has not previously been comprehensively treated for the closed‐loop supply chain and this paper provides a foundation for establishing a strategic structural framework for discussing issues such as lean vs agile and balancing efficiency and responsiveness in a more comprehensive context involving also reverse material flows.

Traditionally the customer order decoupling point (CODP) has focused mainly on the separation of production performed on speculation from commitment to customer orders. Engineering has, with few exceptions in this context, simply been viewed as occurring before production activities in a sequential manner. As competition increases, customer requirements for short lead‐times in combination with customisations requires further integration of processes involving both engineering and production activities making the traditional view of the CODP insufficient in these cases. The purpose of this paper is thus to provide a more general approach to enterprise integration of cross‐functional processes in order to extend the applicability of the CODP as a logistics oriented concept.

We use evolutionary approach to define the CODP as a two‐dimensional concept based on the integration of engineering and production.

The extended CODP captures the complexity in terms of possible configurations, but also provides a framework for the issues that must be handled when positioning the CODP in terms of both engineering and production simultaneously.

The two‐dimensional CODP is an important extension to make the theory better reflect reality and hence increase the scope and acceptance of both the concept CODP per se, and the analysis based on the CODP.

By the introduction of a new two‐dimensional approach, a more comprehensive CODP typology is defined. We also provide a classification of customer order influence based on a combined engineering and production perspective where the efficient CODPs constitute a set providing the highest level of customer value in terms of engineering adaptations.

The purpose of this paper is to propose a framework for describing and analyzing misalignments in supply chain management related to changes in supply chain structures, processes and management components.

Based on the systems approach, a single‐case study including several embedded cases from the same supply chain was deployed. This was done according to the abductive research approach, which is favourable when extending existing and developing new theory. Data were collected through observations, interviews and workshops, and later analyzed through pattern matching. The case studied was the Swedish cash supply chain, which was appropriate since it has gone through several changes in its supply chain structure and management.

A framework to describe and analyze misalignments in the supply chain was developed. The framework consists of three steps: first, identify changes in the supply chain, second, Identify Misalignments, and third, identify symptoms. For each step, a specific and more detailed framework was developed in order to facilitate the identification processes.

Using the framework described in this paper a researcher or practitioner acquires a structured approach to mapping the management of a supply chain so that its current misalignments can be identified.

The purpose of this paper is to investigate supply chain management (SCM) as a management implement from a symbolic perspective on a dyadic level. So far, no research has investigated SCM from such a perspective, although SCM researchers implicitly have noted that it would be useful to have such a study in order to broaden the understanding of the SCM concept, as such a study allows for the use of alternative sociological theories.

A single case study was chosen in order to investigate a focal firm's use of SCM. A total of 27 hours of interviews and 15 hours of observations were carried out at the focal firm and with a number of the firm's suppliers in order to investigate the subject.

The paper found that the SCM concept impacts the relationship between buyer and supplier in different ways depending on two dimensions: SCM as tool vs symbol and arm's length relationships vs strategic partnerships. Contrary to the mainstream idea of SCM as a tool for increased effectiveness of supply chains and increased collaboration with key suppliers, this paper found that SCM from a symbolic perspective at the focal firm came to function as either a justification or as a post‐rationalization for actions taken by the focal firm depending on whether the relationship can be considered a strategic partnerships or an arm's length relationship, respectively.

The paper was conducted from a dyadic, buyer‐supplier perspective. Being a limitation of the study, future research should investigate the proposed claims set forward in this paper on different levels (focal, chain, and network) in order to either strengthen or weaken the credibility of this present paper.

This is the first paper to investigate the management implement of SCM from a symbolic perspective.