International Journal of Production Management and Engineering

Principles of cellular manufacturing/engineering/management: case studies and explications

Richard J. Schonberger — 2023-07-31

Process improvement through cellular manufacturing, engineering, and management (CEM) is largely dated and neglected. This article aims at rejuvenating the topic through re-conceptualization in the form of twelve principles of workcell design, operation, and management, plus six corollary principles. An assessment model, based on the twelve principles is suggested for planning and evaluating proposed or operational CEM cases. Much of the attendant research emerges from published case studies, along with authors’ own extensive, on-site visitations and analyses. Collectively, an intent to present rationale for considering and treating the workcell/cellular construct as among the more significant concepts/methodologies within the field of manufacturing/engineering/production management.

Chaos synchronization for a class of uncertain chaotic supply chain and its control by ANFIS

Seyed Mohamad Hamidzadeh — 2023-05-30

In this paper, modelling of a three-level chaotic supply chain network. This model has the uncertainty of the retailer in the manufacturer. An adaptive neural fuzzy method has been proposed to synchronize the two chaotic supply chain networks. To train adaptive neural fuzzy controller, first, a nonlinear feedback control method is designed. Then, using Lyapanov theory, it is proved that the nonlinear feedback controller can reduce the synchronization error to zero in a finite time. The simulation results show that the proposed neural fuzzy controller architecture well controls the synchronization of the two chaotic supply chain networks. In the other part of the simulation, a comparison is made between the performance of the nonlinear controller and the adaptive neural fuzzy. Also, in the simulation results, the controller signal is depicted. This signal indicates that the cost of implementation in the real world is not high and is easily implemented.

Fulfillment costs in online grocery retailing: comparing retail store and warehouse strategies

Miguel Rodríguez-García — 2023-06-07

This study develops a framework that structures the operational costs of online grocery retailing in order to identify which is the most suitable e-fulfillment strategy. The cost framework was designed by applying time-driven activity-based costing (TDABC) and is based on the insights of two large European grocery retailers, which operate retail store and warehouse e-fulfillment strategies respectively. Cost information was collected, and activity-oriented process modeling was carried out in the field to identify the most relevant e-fulfillment cost drivers. For the retail store strategy, picking costs were the highest among e-fulfillment activities and up to twice as high as for the warehouse strategy. For the warehouse strategy, delivery costs were the highest and 50% higher than for the retail store strategy. Less studied logistics activities such as unpacking and reverse logistics all together accounted for up to one third of total expenses for both strategies. In omnichannel, operations and logistics managers must still ensure the profitability of the online channel if they want to succeed in the grocery business. This framework will help managers identify and estimate the most relevant cost drivers, and to allocate them to the main operational activities.

Two stages of halal food distribution model for perishable food products

Dwi Agustina Kurniawati — 2023-06-08

Two stages of halal food distribution model for perishable food products are a mixed integer linear program (MILP) model proposed to solve the distribution problem of halal food, especially for perishable food products. The model can simultaneously minimize overstock, shortage, transportation, and deterioration costs. The model is developed into two stages. The first stage is the location-allocation model to determine the halal cluster and the number of suppliers in each cluster. The second stage is the vehicle routing model to determine the routing at each cluster. Numerical experiments are done using CPLEX Solver and the proposed model is applied to solve a real case of halal meat distribution in Yogyakarta. The results show that the proposed model can be used as a decision tool for supply chain and distribution managers to determine the strategy for distributing halal food products with the least total logistics cost for daily application.

BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs

Ahmed Adnane Abdessemed — 2023-07-31

In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algorithm (BASA) is used to solve the Single Machine Scheduling Problem with Early/Tardy jobs, where the generated outcomes are compared against the Basic Bees Algorithm (BA), and against some stat-of-the-art meta-heuristics. Computational results reveal that our proposed framework outperforms the Basic Bees Algorithm, and demonstrates a competitive performance compared with some algorithms extracted from the literature.

An industry maturity model for implementing Machine Learning operations in manufacturing

Miguel Angel Mateo Casalí — 2023-07-31

The next evolutionary technological step in the industry presumes the automation of the elements found within a factory, which can be accomplished through the extensive introduction of automatons, computers and Internet of Things (IoT) components. All this seeks to streamline, improve, and increase production at the lowest possible cost and avoid any failure in the creation of the product, following a strategy called “Zero Defect Manufacturing”. Machine Learning Operations (MLOps) provide a ML-based solution to this challenge, promoting the automation of all product-relevant steps, from development to deployment. When integrating different machine learning models within manufacturing operations, it is necessary to understand what functionality is needed and what is expected. This article presents a maturity model that can help companies identify and map their current level of implementation of machine learning models.

The value chain approach in red biotechnology companies from a bibliometric perspective

Onailis Oramas Santos — 2023-07-31

This paper analyzes the value chain approach in the red biotechnology sector from a bibliometric perspective, using Scopus and Web of Science databases from 2011 to 2021. As a result, 82 documents that cover this topic are analyzed with VOSviewer and R studio. The main findings show that scientific interest increases with a positive publication trend during the considered time period. However, there are no authorship networks in both database. Furthermore, the main reason to use the value chain approach in the red biotech sector is that it highlights the government’s implication on the industry, given its social impact. As a research gap, we recommend to study the effects of Industry 4.0 on the red biotech value chain approach.

Green lean method to identify ecological waste in a nectar factory

Andrei Bancovich Erquínigo — 2023-07-31

Nowadays, the waste of resources has become one of the biggest problems for industries, due to the serious environmental, social and economic consequences it generates. Therefore, to ensure a production based on sustainable processes, it’s essential to have a responsible management of resources, being the first step one of the most important ones, the identification. Thus, the present research work aims to develop and implement a method based on the integration of Green and Lean methodologies to systematically identify ecological waste, taking as a case study a nectar factory in Lima - Peru. Through the implementation of tools such as Environmental Value Stream Mapping, Process Mapping or Failure Mode and Effects Analysis, it was found that the company generated a waste of 1584 litres of water and 38.5 kg of conditioned fruit every month. The identification of green waste is vital, as it is the first link in a long chain that contributes directly to improving the company's efficiency, profitability and reputation, as well as protecting the environment and promoting sustainable development.