This study investigates the capacity of a developed production planning model to coordinate energy management within a hybrid energy system. The specific focus is on energy-intensive manufacturing firms utilizing renewable energy generation and energy storage. Unlike prior research in the field...

Background: Logistics operations are integral to manufacturing systems, particularly in the transportation processes that occur not only between facilities and stakeholders but also between warehouses and workstations within a facility. The design of functional areas and allocating goods to...

Purpose: The intricate interplay between economic dynamism and social cohesion is essential for holistic advancement and enduring societal welfare. This systematic review aims to critically evaluate APP literature with a focus on social and economic aspects. Previous APP studies have primarily...

Purpose: This article examines the relevant literature to show how integration between Collaborative Manufacturing and Production Planning can be used and benefitted in the manufacturing business. This study seeks to provide a complete picture of the present condition, research trend, and...

In an increasingly complex and uncertain business environment, decision makers require robust strategies for supply chain aggregate production planning that account for the interdependencies and coordination across multiple echelons of the supply chain network. Traditional approaches often...

During the period 2019-2023, Argentina was governed by a coalition of different factions of Peronism, a party that traditionally made state-led industrialization part of its narrative. In this context, there was a prioritization of the productive development and industrial policy agenda, which...

The Apparent Tardiness Cost (ATC) dispatching rule was initially developed to minimize tardiness in single-machine scheduling problems. ATC extensions have been frequently applied in other production settings, relying heavily on blocking idle machine capacity with a single-machine outlook; this...

Background: Optimization approaches and a models can be applied for critical production systems that experience equipment failure, repair delays and product quality control in order to maximize the total profit. We can cite, as an example, flexible manufacturing systems. Methods: Our methodology...

The real-world production inventory systems involve uncertainties surrounding demand, production, defectiveness, and costs, which pose significant challenges. Various methodologies, including interval, fuzzy, stochastic, and fuzzy-stochastic approaches, have been developed to address these...

Large production of steel and forgings with exquisite shapes and designs of different metals like aluminum, titanium etc. is manufactured to meet the demand of different customers. It is essential that any industry should achieve their targeted value for the survival and the growth of the...

A downstream oil supply chain designates the last section of an oil supply chain, which involves the distribution of refined oil products to demand zones. We study intentional disruptions called interdictions in this supply chain to provide a secure and resilient system in this paper. Such a...

A manufacturing company's production-related decision-making is to a large extent characterized by machine scheduling and support device operations management. All these industrial equipment types consume energy, often in the form of electricity. This electricity is more and more provided by...

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...

This paper investigates single machine scheduling problems with release time and random processing time, where the release time can be either deterministic or random. The objective is to determine a scheduling sequence that performs well in terms of out-of-sample performance. To achieve this, we...

This paper focuses on a novel approach to cold chain management of perishable products. We extend the classical and frequently applied Economic Order Quantity model (EOQ) for its application in multi-echelon supply chains for highly perishable products. Literature shows that order-level...