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This paper aims to investigate the gap between the interests in supply chain collaboration (SCC) and the relatively few recorded cases of successful applications – this is the reality of SCC.

The research represents the viewpoints of the authors based on their collective field experiences and literature reviews.

Three realities of SCC are identified – establishing the prerequisites for the collaboration process; where the process starts; and where it terminates. Moreover, a realistic structured approach to SCC containing three loops is outlined.

Increased awareness for practitioners in SCM by crystallizing when collaboration is useful; what to change; what to change to; and how to make changes happen.

The value of the paper is that it offers a “different” perspective on SCC.

Two researchers suggest a new approach to the most fundamental warehousing operation of all.

This paper aims to present a unified approach for effective capacity management, with the flexibility to position the organization across differing market‐orientations, anywhere from produce‐to‐stock to purchase‐and‐produce‐to‐order.

The unified planning system combines capacity management with the external market through the customer order decoupling point (CODP). The approach starts by determining the CODP, using commonality and effect‐cause‐effect analysis. The resulting CODP information is then used to determine the optimal master production schedule (medium‐term), as well as the detailed schedule (short‐term) at the bottleneck resource, using mathematical programming; to support decisions across different planning horizons in an integrated fashion.

This unified approach was applied to an electronics manufacturing company in the Netherlands. The unified capacity planning system not only reduces the number of capacity problems to be solved by production planners, but also more importantly enhances the organization's capabilities to respond faster and more focused to market changes.

Further studies may test the robustness of this planning approach with additional empirical evidence.

The structured unified approach provides a comprehensive solution to a complex capacity management problem, in competitive environments where organizations have to be able to respond to dynamically changing market conditions, given the process choices within which they are operating.

Provides a unified approach for effective capacity management.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC) performance. Some of these improvements to the SC include the reduction of the bullwhip effect and increased customer and SC partner benefits. The authors propose a fully collaborative replenishment model. The study details the information flow required to implement new SC collaboration strategies, clarifying a specific strategy for information sharing involving inventory levels (on hand, in process, etc.), orders and demand forecast.

The authors suggest the adoption of business process modelling (BPM) methodology, aimed at identifying which information should be shared by SC partners, in order to create fully collaborative strategies.

The features of BPM allow for the effortless integration of the modelled information collaboration strategies into a general network information system, creating a flexible structure that can be quickly and even automatically adapted to new conditions.

In this paper, a serial SC has been analysed, but enterprises also commonly manage more complex kind of chains. Chains composed of more than one member in the same echelon, divergent chains, convergent chains, network chains are all different configurations that require their own algorithm. The authors use the order up to policy, but there are other policies that can be considered to extend the scope of the model.

BPM, specifically through Unified Modelling Language (UML) and Business Process Modelling Notation standards, represents a suitable technique to develop and implement new SC collaboration practices, serving as a communication link between managers and software developers.

The expected results of this work imply the proposal of a reference model for collaborative supply chain (CSC) organisations, contributing to the enhancement of value creation for the whole CSC.

The aim of this paper is to clarify the information-sharing algorithm required to implement a collaborative structure for an SC. This algorithm is expressed using the BPM technique, specifically UML and Business Process Model and Notation standards.

Este documento propone y modela estrategias de colaboración y habilitación de intercambio de información, diseñadas para lograr mejoras significativas en el rendimiento de la cadena de suministro (SC). Algunas de estas mejoras incluyen la reducción del efecto látigo y mayores beneficios para los clientes y socios de la cadena de suministro. Proponemos un modelo de reabastecimiento totalmente colaborativo. El estudio detalla el flujo de información requerido para implementar nuevas estrategias de colaboración en la cadena de suministro, aclarando una estrategia específica para el intercambio de información que involucra niveles de inventario (en mano, en proceso, etc.), pedidos y previsión de la demanda.

Sugerimos la adopción de la metodología de Modelado de Procesos de Negocio, dirigida a identificar qué información debe ser compartida por los socios de la cadena de suministro, a fin de crear estrategias totalmente colaborativas.

las características del Modelado de Procesos de Negocio permiten la integración, sin un excesivo esfuerzo, de las estrategias de colaboración modeladas en un sistema de información general, creando una estructura flexible que puede adaptarse rápida e incluso automáticamente a las nuevas condiciones.

en este documento, se ha analizado una cadena de suministro en serie, sin embargo las empresas también suelen administrar cadenas más complejas. Cadenas compuestas de más de un miembro en el mismo escalón, cadenas divergentes, cadenas convergentes, cadenas de red, son todas configuraciones diferentes que requieren su propio algoritmo. Igualmente, en este artículo usamos la política de pedido “order up to” aunque también existen otras políticas que se pueden considerar para ampliar el alcance del modelo.

el modelado de procesos BPM, específicamente a través del Lenguaje Unificado de Modelado (UML) y estándares para la notación de Modelado de Procesos de Negocio (BPMN), representa una técnica adecuada para desarrollar e implementar nuevas prácticas de colaboración de cadena de suministro, que sirve como un enlace de comunicación entre los gerentes y los desarrolladores de software.

los resultados esperados de este trabajo implican la propuesta de un modelo de referencia para la colaboración de las organizaciones de la cadena de suministro, contribuyendo a la mejora de la creación de valor para toda la cadena de suministro colaborativa.

el objetivo de este documento es aclarar el algoritmo de intercambio de información requerido para implementar una estructura colaborativa para una cadena de suministro. Este algoritmo se expresa utilizando la técnica BPM, específicamente a través de los estándares UML y BPMN.

Notes, in recent years, an increase of interest in the field of service parts inventory ‐ particularly in the computer industry. Explains that the computer industry is a highly competitive industry; products have to be repaired as quickly as possible, since slow repair can lead to loss of future business to competitors with better service reputations. Maintains that a good reputation is therefore closely linked to the availability of spare parts on the market. Using a real‐life case study, elaborates on the management and control of service‐parts inventory and gives a brief overview of the contemporary literature on the subject. Presents the solution approach adopted and the results of the study, which indicate that significant savings can be realized through good management of service‐parts inventory.

This chapter presented the model for the effective practice of construction supply chain management (CSCM) in the fourth industrial revolution (4IR) era. The model was developed after discovering that the failure of adopting the 4IR component has hindered the synchronisation of construction supply chain (CSC) activities. While some stakeholders are willing to manage their CSC under the 4IR era, most have no clue how to go about it. Most stakeholders are familiar with an existing practice built around collaboration, integration, supply chain structure and trust. This chapter bridges the gap by introducing organisational culture and 4IR components for modelling the CSCM in the 4IR era. The model was backed and grounded with a robust theoretical framework. The theories include social identity theory, change theory and resource-based view theory. It was discovered that the organisational culture adopted by construction stakeholders determines their willingness to embrace the 4IR component for the management of CSC. The 4IR components were divided into smart management, virtualisation and cyber-physical systems. The chapter recommended that the practice of SCM in the Nigerian construction industry should be modelled around the six constructs that were used in developing the model for this study.

The purpose of this paper is to develop new model formulation for reducing the workload in pre‐batching at a manufacturer of flavors and fragrances, by optimally assigning ingredients to different storage types, taking into account past usage of ingredients and several restrictions about volumes and number of storage units.

Two models were developed, using mathematical programming, accommodating either fixed or variable shelf settings in vertical carousel storage, along with other varying storage types. The models were validated, yielding a sizeable reduction in workload, and run under varying scenarios of storage additions to reduce workload even further.

For different storage addition scenarios, application of the new model formulation yielded a reduction of 22 percent in workload. In addition, aside from space savings, approximately 40 percent of refill order total waiting time was reduced due to improved allocation.

The authors' analysis was limited by considering direct cost savings only. Yet, reduced workloads in pre‐batching may also yield indirect cost savings, such as reduced quality costs, inventory costs, and investment savings by not having to extend the pre‐batching area. Such considerations may be addressed in future research, provided data on indirect savings are available.

While intuitive storage allocation overloads the pre‐batching department and increases space utilization, suggesting an incorrect perception that more personnel and space are needed, the proposed approach provides a better alternative through optimized allocations.

The present paper adds to the literature on carousel storage location by explicitly addressing the storage sizing issue, as well as workload balancing.

While significant efforts have been made to study auction and logistics theories in the context of perishable supply chain trading (PSCT) over the last few years, the consensus has not yet been reached on how best to examine the impact of physical-internet-enabled auction logistics (AL) decisions and processes on dynamic perishable products transactions. The purpose of this paper is to address this gap by investigating the existing situations and identifying future opportunities for both academic and industrial communities.

The relevant literature was sort out along with three dimensions, namely auction mechanism, level of decision and coordination. The methods of field investigation and focus group discussion were also used to explore the factors influencing AL performance.

A number of key findings presented. First, there is an emerging paradigm shift from offline auction to online auction. Robust and resilient AL are needed to fulfill the massive number of orders from different channels while considering dynamic decisions. Second, three-level decisions in AL have been explicitly classified and defined. Various mathematical techniques used in literature vis-à-vis the contexts of AL were mapped. Third, a coordination mechanism that dynamically balances trade-off between logistics efficiency and transaction price was discussed. Lastly, several opportunities for future research were distinguished with coherent connection of research domains and open questions.

This paper not only summaries key themes of current research dimensions, but also indicates existing deficiencies and potential research directions. The findings can be used as the basis for future research in PSCT and related topics.

The increasing energy shortage leads to worldwide attentions. This paper aims to develop a mathematical model and optimization algorithm to solve the energy-oriented U-shaped assembly line balancing problem. Different from most existing works, the energy consumption is set as a major objective.

An improved flower pollination algorithm (IFPA) is designed to solve the problem. The random key encoding mechanism is used to map the continuous algorithm into discrete problem. The pollination rules are modified to enhance the information exchange between individuals. Variable neighborhood search (VNS) is used to improve the algorithm performance.

The experimental results show that the two objectives are in conflict with each other. The proposed methodology can help manager obtain the counterbalance between them, for the larger size balancing problems, and the reduction in objectives is even more significant. Besides, the experiment results also show the high efficiency of the proposed IFPA and VNS.

The main contributions of this work are twofold. First, a mathematical model for the U-shaped assembly line balancing problem is developed and the model is dual foci including minimized SI and energy consumption. Second, an IFPA is proposed to solve the problem.