Identifying Supply Chain System

77 which is expecting to increase performance through service effectiveness and cost efficiency can do it in two ways, namely 1 Reducing the barrier of supply chain integration, and 2 Increasing facilitation of supply chain integration Richey et. al, 2010. The objective of supply chain integration of key business processes among a network of interdependent suppliers, plantation, processor , and marketers in order to improve the flow of goods, services, and information from original suppliers to final customers, is reducing system-wide costs while maintaining the required service levels. The supply chain systems in this research focus on 3 sub-model. Production Sub-model Plantation and Mill. Demand and Supply Sub-model Domestic and Export Market and Revenue and Cost Sub-Model Sales Revenue, Production Cost, Logistics Cost. By understanding the supply chain system in CPO Agro-industry we can analyze the system by using Causal Loop Diagram CLD and Stock Flow Diagram SFD. Figure 5 : Palm Oil Supply Chain Source : RSPO

2.2. Analyzing with CLD and SFD

There are two structural ways to analyze any system dynamics: CLD and stock and flow diagram SFD. CLD diagrams can be used to show the governing inter-relations among a number of different variables using feedback loops. A positive feedback loop means the dependent variable moves in the same direction as that of the independent variable; as such, the polarities are assigned as a plus + sign on the arrowhead of feedback loops. In the case of negative feedback loops, if the independent variable increases, the dependent variable decreases and vice versa. Thus a minus – sign is assigned to the arrowhead of the feedback loop. The other structure of system dynamics is a SFD which is used to explain both variables, i.e. the stocks and flows. Stocks refer to the status of variables at a pointmoment of time while flows exist during a period of time. Stocks are accumulated over time through inflows and outflows. Apart from stock and flow variables, another kind of variable called an ‘auxiliary variable’ has been used here. Auxiliary variables are used to connect between stocks and flows as well as among themselves. By using all these three kinds of variables, we can explain dynamic systems more appropriately. Many researchers and authors have used stock and flow diagrams to model and describe supply chain performance variables Agarwal and Shankar 2005, Campuzano and Mula 2011. 78 Figure 6 : Causal Loop Diagram Source : Lembito, 2013 Figure 7 : Stock Flow Diagram Source : Lembito, 2013

2.3. Developing Computer Simulation Model

System dynamics software is useful to model and simulate dynamic behaviors of a wide variety of systems such as business, economic market, team dynamics, electrical engineering, natural Pr ofit Logist ics Cost P r oduct ion Cost Ex por t Sa le s Re v e nue D om e st ic Sa le s Re v e nue Ex por t D e m a nd D e cr e a se in D e m a nd I ncr e a se in D e m a nd Low CP O P r ice High CP O P r ice CP O D om e st ic D e m a nd Cook ing O il D e m a nd Bio D ie se l D e m a nd CP O D om e st ic P r ice D e m a nd Tot a l CP O Holding Cost Tr a nspor t Cost I ndone sia P opula t ion St ock CP O CP O P roduct iv it y Mor t a lit y Ra t e Bir t h Ra t e P opula t ion Gr ow t h Y ie ld P a lm O il Mill P r oduct iiv it y P a lm O il P r oduct ion P a lm O il A r e a P a lm O il P r oduct iv it y Ne w P la nt a t ion P a lm O il D e m a nd + - + + + + + + + + + - - - - + + + + + + + + + + + + + + + + + - + P rice Cha nge + + La nd A v a ila bilit y D e f or e st a t ion + + - D e pula t ion DOM ESTI C AN D EXPORT DEM AN D SUB M ODEL PRODUCTI ON SUB M ODEL SUB M ODEL PEN JUALAN DAN BI AYA T o ta l Estat e Ar ea Exp or t Dem an d CPO Do m e stic Dem an d Pr o fit To al Reve nu e To al Reve nu e T ot al De m a nd CPO p r o d uct io n Espo r t Fr act ion Con su m p t ium p er Cap ita M ill Ut ility Cou nt r y Est at e Pr o du ct ivit y Pr od u ctiv ity Pr iva te Ow ned Sm allh older Pr o du ctivity Ad d itio na l La nd Fr act ion Ad dt io nal Lan d Fr a ctio n Fr actio n Add it ion al Lan d CPO Con ve r sio n Fa cto r Pr od uctio n Cost Biay a T r an spo r t Dom est ik Ho ld ing Co st Ho ldin g Cost Co ok ing Oil De m a nd Sm a llho lde r Ar ea Co nv er sion Fact or Con ve r sion Fa cto r Co n ver sio n Fact o r Gov er nm en t Ow ned FFB St o ck Pr iv ate Ow ne d FFB St ock Sm allh old er FFB Sto ck T ot al Pr od uct io n Co st Do m e stic Sa les Rev en ue Pen j u ala n Eksp or Bala nce Sto ck Diff er en ce Dem a nd a nd Pr o du ction T o tal CPO St ock Gove r nm en t Ow n ed Lan d Pr ivat e Ow n ed La nd St o r a ge Cost Ad dit ion al Lan d Go ver m en t Ow n ed Ad dit io nal Lan d Pr ivat e Ow n ed Ad dit io na l La nd Sm all h old er s Mo rt alit y Ra te Po p ula tio n Gr ow th Po pu lasi Pen d ud uk Pr ice Ch an ge Per u bah an Har g a Do m e stik Bir th Rat e Dep o p ula tio n Qua lity Fr act io n Qua lity Fr act io n Sm a llho lde r s st ock Pr iv at e Ow n ed CPO St o ck Go ver n m e nt Ow n ed CPO Sto ck Yie ld Pr iva te Ow n ed Yie ld Go ve r nm en t Ow n ed Yield sm allh old er s FFB T o ta l St o ck To t al T r an spo r t Cost Exp or t Dem an d Ex port Tra nsport Cost St ora ge Cost Ex port St o r a ge Cost Exp o r t Log istics Co st Dom est ic T ot al Tr a nsp or t Co stCPO Dom estic Dem an d T ot al St or ag e Co st Dom est ic Lo g istics Cost T ot al Log ist ics Cost T ot al Log ist ics Co st To ta l Co st Def or est at io n