Information flow in supply chain management: A review across the product lifecycle

Madenas, Nikolaos; Tiwari, Ashutosh; Turner, Christopher; Woodward, James

doi:10.1016/j.cirpj.2014.07.002

Cited by 50 publications

(33 citation statements)

References 137 publications

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“…Physical products are managed by enterprise systems, particularly by ERP systems [4]. One of the issues with PLM is the efficiency of the interface between PLMS and other systems with which it has dependencies [31,32]. PLMS must provide bills of materials (BOMs) for the other systems managing production, finance and accounting, procurement and logistics, etc.…”

Section: Toward An Integrated Product Information Environmentmentioning

confidence: 99%

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

David

Rowe

2016

Computers in Industry

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Section: Toward An Integrated Product Information Environmentmentioning

confidence: 99%

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

David

Rowe

2016

Computers in Industry

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“…To assure functional connections for an operation, a complex information sharing/transmitting network is created between multiple parties in the system (Figure 1). As the development of logistics networks to provide more features such as door-to-door services, distribution processing or warehouse operations, the complexity of the information flow is also increased, put it under multiple risks (Madenas et al, 2014). By reviewing literature in the field, Madenas et al (2014) pointed out insufficiencies of communications among heterogeneous systems such as interruptions or overlaps.…”

Section: Identification Of Hazardous Events In Container Shipping Opementioning

confidence: 99%

“…Accidents and inefficiencies in the operations of both landside and seaside such as maritime collisions, road accidents, traffic jams or cargo handling operations could be considered as a substantial type of risk (Bichou, 2009;Husdal and Brathen, 2010;Goerlandt and Montewka, 2015b). Transporting containerized dangerous goods is regarded as another specific risk with its uncertain and potentially massive consequences to human, environment and infrastructures (Chang et al, 2015;Husdal and Brathen, 2010 (Tummala et al, 2011;Madenas et al, 2014;Metters, 1997;Chang et al, 2015) ID1 Unpunctuality in information transmittance (Angulo et al, 2004;Chang et al, 2015;Metters, 1997) ID2…”

Section: Identification Of Hazardous Events In Container Shipping Opementioning

confidence: 99%

Prioritizing operational risks in container shipping systems by using cognitive assessment technique

Nguyen

Wang

2018

MABR

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Purpose-This paper aims to propose a technique based on cognitive assessments to quantify identified operational risks from the perspective of container shipping or logistics system administrators. The results derived from the risk quantification could be used to prioritize risks as well as support the decision-making process in risk prevention and mitigation. Design/methodology/approach-This paper identified container shipping operational risks (CSORs) from a logistics perspective. A multivariate risk evaluation mechanism by fuzzy rules Bayesian network (FRBN) was established. An improved two-level parameter set based on the failure mode and effects analysis (FMEA) was used to support the input extraction process. By feeding cognitive assessments into the model, the identified risks are evaluated based on their utility values. An illustration example and a sensitivity analysis were carried out to justify and validate the proposed model. Findings-The highest positions in the prioritized list of CSORs in the case study are dominated by risks in the physical flow with the first three are piracy and terrorism, force majeure and port congestion. The results derived from the case study with the satisfaction of all pre-defined axioms proved the feasibility and illustrated the functionality of the proposed risk assessment and prioritization technique. Originality/value-Controlling risk is irrefutably a significant issue of container shipping and logistics management because of the inconsistency of risk definitions and the involvement of uncertainties. The proposed risk evaluation mechanism and the identified list of CSORs could be beneficial in system management, decision-making and reliability performance.

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“…before it is returned to the factory for maintenance and repair). Madenas stated that research into service and maintenance system development attracts little interest from researchers, and furthermore, this limited research tends to focus on the aerospace sector [7]. However, other industries with high data transactions, and significant warranty and maintenance costs, such as the automotive and construction industries, should also benefit from preventative maintenance schemes driven by real time data acquisition and processing.…”

Section: Introductionmentioning

confidence: 98%

Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring

Harding

Glass

2017

Mechanical Systems and Signal Processing

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a b s t r a c tIt is common for original equipment manufacturers (OEMs) of high value products to provide maintenance or service packages to customers to ensure their products are maintained at peak efficiency throughout their life. To quickly and efficiently plan for maintenance requirements, OEMs require accurate information about the use and wear of their products. In recent decades, the aerospace industry in particular has become expert in using real time data for the purpose of product monitoring and maintenance scheduling. Significant quantities of real time usage data from product monitoring are commonly generated and transmitted back to the OEMs, where diagnostic and prognostic analysis will be carried out. More recently, other industries such as construction and automotive, are also starting to develop capabilities in these areas and condition based maintenance (CBM) is increasing in popularity as a means of satisfying customers' demands. CBM requires constant monitoring of real time product data by the OEMs, however the biggest challenge for these industries, in particular construction, is the lack of accurate and real time understanding of how their products are being used possibly because of the complex supply chains which exist in construction projects. This research focuses on current dynamic data acquisition techniques for mobile hydraulic systems, in this case the use of a mobile inline particle contamination sensor; the aim was to assess suitability to achieve both diagnostic and prognostic requirements of Condition Based Maintenance. It concludes that hydraulic oil contamination analysis, namely detection of metallic particulates, offers a reliable way to measure real time wear of hydraulic components.

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Information flow in supply chain management: A review across the product lifecycle

Cited by 50 publications

References 137 publications

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

Prioritizing operational risks in container shipping systems by using cognitive assessment technique

Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring

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