Designing an effective production system for processing agricultural products

Choosing a Distribution Center to Improve the Vietnamese Fruit and Vegetable Supply Chain by the Hybrid Applied Mathematical Optimization and SAW

“…Other characteristics, such as seasonality of agriculture production [16], [17], long supply lead times [18], [19], uncertainty in harvest time due to unpredictable weather conditions [16], [20], and relating to preserving freshness and product quality, it requires more limited delivery deadlines, more controlled storage conditions, better quality of end-products and minimum losses due to deterioration [21], [22], all of these features make more complex and harder to manage than other supply chains [23]. As a result, the operational research approaches to balancing agri-fresh produce supply chain (APSC) attract considerable interest of researchers as a mechanism to generate management efficiency through the use of modern decision technology tools, especiallly on designing and managing agri-fresh produce supply chains, although there is a significant level of inconsistency and confusion in segmenting fruits, flowers, and vegetables [22]- [26].…”

“…To improve Vinh Long sweet potato supply chain management, this part points out the research should conduct new supply chain strategy initiallly based on optimization, multiple criteria decision making and simulation, including proposal locations of distribution center, technological solutions and production processes, and how to bring sweet potato to market in time, increase competitiveness, reduce product costs [17]- [20].…”

Bio-diesel production using mobile processing units: A case in Indonesia

“…Ferrer et al (2008), on the other hand, take into account the dynamic labor availability for manual harvesting. Strauss (1993, 1995) allow demand seasonality, while seasonality of harvest yield is considered by Qureshi et al (2007) and Tsubone et al (1983Tsubone et al ( , 1984Tsubone et al ( , 1986.…”

“…Annetts and Audsley ( 2002) and Parker et al (2010) assume that a certain fraction of yield crop will continuously deteriorate due to storage and transportation, while Tsubone et al (1983) assume that the yield crop will rot after a certain period of time. Ahumada and Villalobos (2011b), Blackburn and Scudder (2009) and Widodo et al (2006) assume that the deterioration rate follows a continuous function, Ahumada and Villalobos (2011a) on the other hand, categorizing the rate of decay on a scale from 1 to 6.…”

“…Others consider inventory of raw material at the processing facility (Grunow et al, 2007;Zhang et al, 2012;Zhang and Hu, 2013), final products at the processing facilities (Jones et al, 2003;Miller et al, 1997;Zhang and Hu, 2013) and at distribution channels (Ahumada and Villalobos, 2011a,b) as decision variables. Tsubone et al (1983Tsubone et al ( , 1984Tsubone et al ( , 1986 develop production planning methods that calculate inventories of semi-processed and final products for a production system.…”