We propose a new model formulation for a three-echelon supply network design problem incorporating the concept of relocatable modular capacities. A robust supply network configuration must be determined based on uncertain demand. Furthermore, by incorporating the conditional value at risk...

Sales and operations planning (S&OP) is a multi-actor tactical planning process that balances aggregate demand and capacities to deliver realistic production plans. The way demand is aggregated into product families (PFs) is crucial for the alignment sought by S&OP. The issue of gathering...

Market foundry production processes are characterized by raw materials that feed a furnace that produces metal alloys with limited capacity to meet item order demand. The foundry production system considered here is make-to-order. Although in the literature, production planning does not usually...

We study energy consumption and inventory control in a make-to-stock manufacturing system. We consider a Markovian system with a single server. The server consumes energy, and the associated energy cost depends on the server state: a busy server consumes more power than an idle server does, and...

This study focuses on the lot sizing problem with setup carry-over in multi-item multi-echelon capacitated production systems under uncertain customer demand. We investigate budget-uncertainty robust optimization and scenario-based stochastic programming, to address the uncertainty in customer...

In stochastic lot sizing subject to dynamic and random demand, the minimization of operational costs is not the only conceivable objective. Minimizing the tardiness in customer demand satisfaction is no less important. Furthermore, the decision maker is interested in production plan stability....

With the development and changes of industry and market demand, the personalized customization production mode with small batch and multiple batches has gradually become a new production mode. This makes production environment become more complex and dynamic. However, traditional production...

Cloud manufacturing task scheduling (CMTS) gains widespread attention in the cloud manufacturing (CMfg) community. At present, most related researches are mainly aimed at task-oriented scheduling and there are few researches considering user’ characteristics, like user preferences. In this...

The geographical dispersion of collaborative factories may provide the cost-saving potential for manufacturers and lead them to easier fit the global markets. On the other hand, in such networks of factories, coordination is very important for the just-in-time delivery of orders. This study...

When dynamic production capacity is considered in production lot-sizing plans, it becomes very challenging to efficiently determine the optimal production plan. Many papers apply “at most one fractional production period” to develop efficient algorithms, but those algorithms are still...

Human operators will remain to play an essential role in picker-to-parts order picking systems despite increasing digitalization and automation of warehouse processes. While manual order picking is a laborious and cost-intensive task in warehousing, it is extensively examined in the logistics...

Production planning of fast-moving consumer goods (FMCG) is a complex problem in manufacturing that aims to optimize demand fulfilment, capacity utilization, and total production cost. Traditional methods are static and require complex modelling to account for the uncertainties involved in...

In the inventory theory, to treat the uncertainty, the fuzzy set concept is used in order to provide a feasible approach to deal with the uncertainty problem. In this research work, a fuzzy economic production quantity model with interactive fuzzy demands is proposed. In a production process, in...

This paper discusses the makespan minimization of a production batch within a specific concurrent system, seru production system. A seru production system consists of multiple independent serus. A seru is a compact assembly origination in which products are assembled...

We study a pure assemble-to-order system subject to multiple demand classes where customer orders arrive according to a compound Poisson process. The finished product is assembled from m different components that are produced on m distinct production facilities in a make-to-stock fashion. We...

For the scheduling needs of technicians in IT operations and maintenance services, a study was conducted with the objective of minimizing the total delay of heterogeneous technicians for independent service tasks. An IT technician scheduling model considering task release time is established,...

In recent economic and business environment, firms, especially startups, are interested in financial opportunities, such as capital raising and acquisition. Typically, potential investors will be attracted by firms that exhibit nice trends of profit growth, and therefore firms need to manage...

A central problem in planning production capacity is how to effectively manage demand risk. We develop a model that integrates capacity planning and risk hedging decisions under a popular risk measure, conditional value at risk (CVaR). The CVaR objective generalizes the usual risk-neutral...

This paper proposes two stochastic programming models for master production scheduling with capacity-load factor scenarios. In contrast to other work on production planning with load-dependent lead times or dynamic capacity loads, we iteratively build a set of realistic capacity-load factor...

Purpose: The research studies the production system having multiple items being processed on the same production line. The objectives are to (1) investigate the influence of production sequence on the optimal value of production run size, (2) explore the effect of production sequence on the...

The inefficiencies related to endogenous product creation and variety under monopolistic competition are two-fold: one static—the misalignment between consumers and producers regarding the value of a new variety; and one dynamic—time variation in markups. Quantitatively, the welfare costs of...

We present a dynamic quantity setting game, where players may continuously adjust their quantity targets, but incur convex adjustment costs when they do so. These costs allow players to use quantity targets as a partial commitment device. We show that the equilibrium path of such a game is...

Context. A method for constructing an algorithm for stabilizing the interoperability of a production line is considered. The object of the study was a model of a multi-operational production line. Objective. The goal of the work is to develop a method for constructing an optimal algorithm for...