The production instruction system for smart job shop

Wang, Chuang; Jiang, Pingyu; Lu, Tiantian

doi:10.1109/icma.2016.7558846

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Schuh, Reuter, Hauptvogel & Brambring, 2014). Other authors use petri nets for assistance in problem-solving, e. g. Wang, Jiang et al (2016) use petri nets to model resource constraints triggered by shop floor events to solve an ant colony optimization problem. However, these methods mainly enable to plan and control the production or a sub-set of the production from a centralized perspective.…”

Section: Resultsmentioning

confidence: 99%

Approaches of production planning and control under industry 4.0: A literature review

Herrmann

Tackenberg

Padoano

et al. 2022

JIEM

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Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model.Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Additionally, we give a summary of each reviewed publication.Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. We propose future research directions for the unexplored tasks and functions of the Aachen PPC model.Research limitations/implications: The selection of search terms and the texts' interpretation is based on an individual assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently.Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0.

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Section: Resultsmentioning

confidence: 99%

Approaches of production planning and control under industry 4.0: A literature review

Herrmann

Tackenberg

Padoano

et al. 2022

JIEM

View full text Add to dashboard Cite

show abstract

“…Some studies propose functional architecture for flexible manufacturing systems [24,25]. Other studies develop a heuristics model and algorithm to optimize and support scheduling flexible job-shop systems [26][27][28][29][30]. In 2017, a heterarchical approach based on intelligent products was analyzed by Bouazza et al [31].…”

Section: Literature Review On Fjss and Smart Manufacturingmentioning

confidence: 99%

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

et al. 2021

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Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

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“…LITERATURE SURVEY The paper [1] followed as Automatic rationing shop using embedded system technology. In this paper ration distributed system is automatic by using PLC.…”

Section: Introductionmentioning

confidence: 99%

Authenticated Automatic Ration Shop using RFID and GSM

Selvaganapathy¹

2018

IJRASET

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The main aim of the project is to automize the ration materials distribution system for the public. The goal of this project is to provide the ration materials automatically using RFID technology. The existing system consists of manual ration distribution process. The proposed system discusses about automatic material distribution that includes user data entry section in which the user will enroll their user ID and password. The proposed system also contains automatic weighing section and GSM module. The automatic weighing section scales the authorized measure of the ration materials like sugar, rice, etc. and distributes to the customer in exact measure. The outcome of the project is to reduce the unnecessary ration materials distribution. Keywords: RFID, GSM Module, HMI, Programmable Logic Controller (PLC) I. INTRODUCTIONAs the ration material distribution in recent scenario consumes more time to distribute the material due to population.The user spent more time to waiting the queue. Automatic ration dispensing system is useful for automatic and more efficient way of ration distribution. This project is designed to minimize the manual intervention in thedistribution, so that more transparency & efficiency can be maintained. In that system various products like rice, sugar and kerosene are distributed using conventional ration shop.And also the chance of illegal usage of our product in the conventional system i.e. the materials are robbed by making wrong entries in the register without knowledge of the ration card holder. Due to human operations the working hours of the ration shops are restricted, so that the user cannot be able to get the materials at any time.To overcome these problems we go for the automation of the ration shop using PLC.In automatic ration shop we use PLC for controlling purpose.The controller outputs are used to drive motors and solenoid valves.II. LITERATURE SURVEY The paper [1] followed as Automatic rationing shop using embedded system technology. In this paper ration distributed system is automatic by using PLC. The main aim of this paper is to run by the system in the use of solar power.High cost and difficult implement. The paper [2] followed as fair price shop tracking system.The system overcome the corruptionin the fair price shop by using thumb detector .Secure for thebelow poverty line card hold for getting food and grains manual distribution. The paper [3] followed a systematic application for public distribution ration shop. The aim of this system to haveofficerdealer and consumer will access for the supply of grains and rice .Efficient process for data registers. Time consuming and manual datawebsite entry may leads to corruption. The paper [4] followed as Smart ration distribution and controlling. This paper is not efficient way of ration distribution.In this system smart card is used instead of ration card.

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The production instruction system for smart job shop

Cited by 7 publications

References 9 publications

Approaches of production planning and control under industry 4.0: A literature review

Approaches of production planning and control under industry 4.0: A literature review

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

Authenticated Automatic Ration Shop using RFID and GSM

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