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• W3040103208 abstract "The need to investigate new technology for forecasting purposes in construction logistics is due to the fact that the forecasting ability (modern technology utilisation) of the Nigerian construction sector, in terms of logistics management, is relatively low when compared to manufacturing and retailing industries. This is affecting the performance of the construction sector. Moreover, the current logisticstechnologies used for forecasting operations in the Nigerian construction industry are relatively inefficient and insufficiently   investigated to inspire new logistics technologies for the construction industry. Hence, this article investigated how forecasting logisticstechnologies could be utilised in manufacturing and retailing industries, in order to improve the forecasting processes of construction logistics. Lagos State and Abuja, the Federal Capital Territory of Nigeria, formed the selected geographical scope of the study, from which five manufacturing; five retailing companies, and five construction projects were purposely selected. A mixed methods research strategy were used. The research instruments included an observation guide (quantitative) and semi-structured interviews (qualitative). The collected quantitative data were analysed, using descriptive analytical tools: frequencies and percentiles. The  qualitative data was analysed, using the thematic method. The results revealed that all the observed manufacturing industries (100%) adopted the Enterprise Resource Planning (ERP) technology for forecasting purposes in the following areas: material, demand, product,and production forecast. Of the observed companies in the manufacturing and retailing industries, 80% and 40%, respectively, adopted the Material Requirement Planning (MRP) technology for forecasting purposes. Only 20% (one project) of the observed construction projects adopted the MRP technology for forecasting in the following: 5% for demand forecast (demand control); 6.7% for material forecast (stock control), and 20% for product forecast (product output). It was also revealed that utilisation of the forecasting technology in construction could have the following benefits: proper resource planning; improved production scheduling; reduction in inventory; effective treatment of scheduling problems, and efficiency of the supply-chain system. Results showed that effective utilisation of forecasting technology in the logistics system of the construction industry could lead to full efficiency gains in forecasting logistics of the construction industry. It is recommended that the Nigerian construction industry should leverage on this, in order tocreate the best ways of handling the forecasting technology to improve the forecasting logistics systems of the construction process.Keywords: Construction, DM, ERP, IRES, MRP, forecasting, logistics, technology  Die behoefte om nuwe tegnologie vir voorspellingsdoeleindes in konstruksielogistiek te ondersoek, is te wyte aan die feit dat die voorspellingsvermoe (moderne tegnologiegebruik) van die Nigeriese konstruksiesektor, wat logistieke bestuur betref, relatief laag isin vergelyking met die vervaardigings- en kleinhandelbedrywe. Dit beinvloed die prestasie van die konstruksiesektor. Boonop is die huidige logistieke tegnologiee wat gebruik word vir voorspellingsbedrywighede in die Nigeriese konstruksiebedryf relatief   ondoeltreffend en word onvoldoende ondersoek om nuwe logistieke tegnologiee vir die konstruksiebedryf te inspireer. Daarom het hierdie artikel ondersoek hoe die voorspelling van logistieke tegnologiee in die vervaardigings- en kleinhandelbedrywe gebruik kan word om die voorspellingsprosesse van konstruksielogistiek te verbeter. Lagos-staat en Abuja, die Federale hoofstadgebied van Nigeria, vorm die geselekteerde geografiese omvang van die studie, waaruit vyf vervaardiging; vyf kleinhandelondernemings, en vyf bouprojekte is doelbewus gekies. ‘n Gemengde navorsingsmetode is gevolg. Die navorsingsinstrumente het ‘n waarnemingsgids (kwantitatiewe) en semi-gestruktureerde onderhoude (kwalitatief) bevat. Die versamelde kwantitatiewe data is geanaliseer met behulp van beskrywende analitiese instrumente: frekwensies en persentiele. Die kwalitatiewe data is met behulp van die tematiese metode ontleed. Die resultate het aan die lig gebring dat al die waargenome vervaardigingsbedrywe (100%) die Enterprise Resource Planning(ERP) -tegnologie gebruik het vir voorspellingsdoeleindes in die volgende gebiede: materiaal, vraag, produk en produksieskatting. Van die waargenome ondernemings in die vervaardigings- en kleinhandelbedrywe het onderskeidelik 80% en 40% die Materiaalvereistesbeplanningstegnologie (MRP) vir voorspellingsdoeleindes aangewend. Slegs 20% (een projek) van die waargenome bouprojekte het die MRP-tegnologie vir voorspelling in die volgende gebruik: 5% vir vraagvoorspelling (vraagbeheer); 6,7% vir wesenlike voorspelling (voorraadbeheer) en 20% vir produksieskatting (produkuitset). Dit is ook aan die lig gebring dat die gebruik van die voorspellingstegnologie in die konstruksie die volgende voordele kan inhou: behoorlike hulpbronbeplanning; verbeterde produksieskedulering; vermindering in voorraad; effektiewe behandeling van skeduleringsprobleme en die doeltreffendheid van die voorsieningskettingstelsel. Die bevindinge toon dat die effektiewe gebruik van voorspellingstegnologie in die logistieke stelsel van die konstruksiebedryf tot volle effektiwiteitswinste in die voorspellingslogistiek van die konstruksiebedryf kan lei. Dit word aanbeveel dat die Nigeriese konstruksiebedryf gebruik maak hiervan om die beste maniere te kry om die voorspellingstegnologie te hanteer om die voorspellingslogistieke stelsels tydens die konstruksieproses te verbeter.Sleutelwoorde: DM, ERP, IRES, MRP, konstruksie, logistiek, tegnologie, voorspelling" @default.
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• W3040103208 date "2020-06-29" @default.
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• W3040103208 title "Utilisation of forecasting technology for improving construction logistics in Nigeria" @default.
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