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Companies today observe an increase in the complexity and vulnerability of their supply chains (SCs) as a result of global scale networks and a turbulent environment. The purpose of this paper is to explore knowledge management (KM) as a potential way of reducing SC vulnerability and answer the following question: how does inter-organisational KM influence efforts to reduce SC vulnerability?

Drawing on the resource-based view and the knowledge-based view (KBV), a single case study in the energy industry is conducted by collecting various data through interviews, observations and internal documents.

This edifying case study indicates that a lack of KM hinders any attempt to mitigate SC vulnerability.

This research shows several limitations such as data privacy, generalisation and the decision to study an atypical SC.

The paper points out in a dedicated section the key actions a company should take in order to develop the required characteristics of knowledge expressed in the KBV.

This is the first qualitative research that investigates the relationships between SC vulnerability and KM, and more particularly in a recycling context where a strong research gap exists.

The purpose of this paper is to study the following research question: how can information systems (ISs) be the real sources of uncertainty for supply chain management (SCM), despite their positive roles in the effectiveness of modern supply chain (SC) organization?

A typology of the uncertainties linked to ISs and their usage is developed. Then, five explanatory case studies conducted in diverse industries allow to characterize this typology.

The case studies allow to identify the most frequently recurring uncertainties, namely, “limited IS capacity” and “data unreliability.” In addition, “company size” does not seem to be a relevant dimension for assessing the vulnerability of a SC to uncertainties linked to ISs. On the other hand, the “business sector,” with its implied power influences, was found to be a relevant dimension.

This research does not allow to rank uncertainties according to their level of criticality.

This paper enables SC and information systems managers, as well as ISs/SC project managers to be aware of the need to consider ISs not only as the vectors for performance, but also as the factors for uncertainty in SCs.

ISs are generally considered to be a vector of performance. Nevertheless, their use remains problematic in many companies. This paper falls within both the ISs and SCM research areas. In the latter field, typologies of the uncertainties are common, but often ignore the uncertainties linked to ISs and their usage. The authors suggest envisaging ISs as the potential factors for uncertainty in the context of SCM.

The purpose of this paper is to investigate the performance of unpaced unreliable production lines that are deliberately unbalanced in terms of their coefficients of variation (CVs).

A series of simulation experiments were carried out for five and eight station lines with mean buffer space set at one, two, four and six units. CVs were allocated in 12 different configurations for each of these lines.

The results show that the best unbalanced CV patterns in terms of throughput rates or idle times as compared to a balanced line counterpart are those where the steadiest stations are concentrated near the centre of the line. On the other hand, either concentrating the steadier operators towards the centre or close to the end of the line gives best average buffer level results.

The results provide guidelines for production line managers when designing unpaced unbalanced lines depending on their performance aims.

The investigation of the effects of unbalancing CVs in unreliable lines has not previously been studied and can provide insights into how best to place workstations with differing variability along the line.

The purpose of this paper is to investigate the performance of unpaced reliable production lines that are unbalanced in terms of their mean operation times, coefficients of variation and buffer capacities.

Simulations were carried out for five‐ and eight‐station lines with various buffer capacities and degrees of means imbalance. Throughput, idle time and average buffer level performance indicators were generated and statistically analysed.

The results show that an inverted bowl allocation of mean service times, combined with a bowl configuration for coefficients of variation and a decreasing order of buffer sizes results in higher throughput and lower idle times than a balanced line counterpart. In addition, considerable reductions in average inventory levels were consistently obtained when utilizing a configuration of progressively faster stations, coupled with a bowl‐shaped pattern for coefficients of variation and an ascending buffer size order.

The results for these specific experiments imply that resources expended on trying to achieve a balanced line could be better used by seizing upon possible enhanced performance via controlled mean time, variability and buffer imbalance. Results are valid for only the line type and parameter values used (simulation results are specific and not general).

Guidelines are provided on design strategies for allocating labour and capital unevenly in unpaced lines for better performance in terms of increased throughput or lowered idle time or average buffer levels.

This paper might be viewed as one of the first simulation investigations into the performance of unpaced production lines with three sources of imbalance.

The purpose of this paper is to introduce sequence‐dependent disassembly line balancing problem (SDDLBP) to the literature and propose an efficient metaheuristic solution methodology to this NP‐complete problem.

This manuscript utilizes a well‐proven metaheuristics solution methodology, namely, ant colony optimization, to address the problem.

Since SDDLBP is NP‐complete, finding an optimal balance becomes computationally prohibitive due to exponential growth of the solution space with the increase in the number of parts. The proposed methodology is very fast, generates (near) optimal solutions, preserves precedence requirements and is easy to implement.

Since development of cost effective and profitable disassembly systems is an important issue in end‐of‐life product treatment, every step towards improving disassembly line balancing brings us closer to cost savings and compelling practicality.

This paper introduces a new problem (SDDLBP) and an efficient solution to the literature.

The purpose of this paper is to identify important factors those which constrain implementation and sustenance of lean strategies in aviation sector and ways to avoid slow attrition within annals of lean.

This research is exploratory in nature and survey methodology is used for assessing the post lean management implementation environment. The focus of study is cross-sectional, within aircraft industry based on the information collected through survey and a case study.

The reasons for the weak sustenance of lean initiative have been identified. The measures as undertaken in the case study implied a successful turnaround of specific department. Comparison with automobile industry indicates suggestions and pitfalls to be avoided with suitable illustration.

The target of the study is the aircraft manufacturer and hence it has the limitation in terms of the scope. However, overall results are encouraging with the survey generating expected inputs and underline the need for similar research in the aerospace sector. The study has implications for managers in all types of industrial environment, especially in aviation, in the era of globalized lean supply chain establishment.

Inputs obtained are from both industrial research in a live environment and a case study which impacts lean management in industries.

This paper presents novel inputs regarding post lean implementation scenario in aviation sector, which has complicated internal processes. It also tries to establish factors relevant for any organization in assessing lean initiatives.

This research note aims to present a summary of research concerning economic‐lot scheduling problem (ELSP).

The paper's approach is to review over 100 selected studies published in the last 15 years (1997‐2012), which are then grouped under different research themes.

Five research themes are identified and insights for future studies are reported at the end of this paper.

The motivation of preparing this research note is to summarize key research studies in this field since 1997, when the ELSP problems have been verified as NP‐hard.

ELSP is an important scheduling problem that has been studied since the 1950s. Because of its complexity in delivering a feasible analytical closed form solution, many studies in the last two decades employed heuristic algorithms in order to come up with good and acceptable solutions. As a consequence, the solution approaches are quite diversified. The major contribution of this paper is to provide researchers who are interested in this area with a quick reference guide on the reviewed studies.

The purpose of this paper is to provide a decision-making tool achieving robust supply flow by incorporating strategic stock and contingent sourcing in mitigating minor and major disruptions.

The authors consider a firm with two suppliers where the main supplier is cost-effective but prone to disruptions and the back-up supplier is reliable but expensive due to built-in volume flexibility. In order to incorporate the randomness associated with disruptions and the available capacity during response time in the decision-making stage, the authors present a multi-stage robust optimization (RO) model. The design problem is to determine optimal strategic stock level and response speed of volume-flexible back-up supplier in order to achieve a robust supply flow.

The results show that the quality of optimal solution is improved by considering the randomness associated with available capacity. In addition, incorporating congestion effects allows identifying the appropriate level of supply chain responsiveness, thus improving the overall performance.

The novelty of the proposed model is the consideration of both strategic stock and volume flexibility in maintaining a robust supply performance while incorporating response capability and congestion effects.